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Efstathiou, Emeritus Professor of Astrophysics (1909) at Cambridge’s Institute of Astronomy, shares the prize with Professor John Richard Bond from the Canadian Institute for Theoretical Astrophysics and the University of Toronto.

They were recognised for their pioneering research in cosmology, in particular for their studies of fluctuations in the cosmic microwave background. Their predictions have been verified by an armada of ground-, balloon- and space-based instruments, leading to precise determinations of the age, geometry, and mass-energy content of the universe.

Cosmology has undergone a revolution in the past two decades, driven mainly by increasingly precise measurements of the angular power spectrum of fluctuations in the temperature and polarisation fields of the cosmic microwave background, a relic of the early universe, most notably by NASA’s Wilkinson Microwave Anisotropy Probe spacecraft (2001–2010) and the European Space Agency’s Planck spacecraft (2009–2013).

These fluctuations are small — the strength of the background radiation is the same in all directions to better than 0.01% and it is only slightly polarised — but they offer a glimpse of the universe when it was very young, a test of many aspects of fundamental physics, insights into the nature of dark matter and dark energy, and measurements of many fundamental cosmological parameters with accuracies unimaginable to cosmologists a few decades ago.

Although many researchers contributed to the development of the theoretical framework that governs the behaviour of the cosmic microwave background, Bond and Efstathiou emphasised the importance of the background as a cosmological probe and took the crucial step of making precise predictions for what can be learned from specific models of the history and the composition of the mass and energy in the universe.

Modern numerical codes used to interpret the experimental results are based almost entirely on the physics developed by Bond and Efstathiou. Their work exemplifies one of the rare cases in astrophysics where later experimental studies accurately confirmed unambiguous, powerful theoretical predictions.

The interpretation of these experiments through Bond and Efstathiou’s theoretical models shows that the spatial geometry of the observable universe is nearly flat, and yields the age of the universe with a precision of 0.15%, the rate of expansion of the universe with a precision of 0.5%, the fraction of the critical density arising from dark energy to better than 1%, and so on. The measurements also strongly constrain theories of the early universe that might have provided the initial “seed” for all the cosmic structure we see today, and the nature of the dark matter and dark energy that dominate the mass-energy content of the universe.

Both Bond and Efstathiou have worked closely with experimentalists to bring their predictions to the test: they have been heavily involved in the analysis of cosmic microwave background data arising from a wide variety of experiments of growing sophistication and accuracy.

George Efstathiou received his BA in Physics from the University of Oxford and PhD in Astronomy from Durham University. He has held postdoctoral fellowships at the University of California, Berkeley, USA and the University of Cambridge. He was Savilian Professor of Astrophysics at Oxford, where he served as Head of Astrophysics until 1994. He returned to Cambridge in 1997 as Professor of Astrophysics, where he also served as Director of the Institute of Astronomy and the first Director of the Kavli Institute for Cosmology. He received the 2022 Gold Medal of the Royal Astronomical Society. He is a Fellow of the Royal Society of London and the Royal Astronomical Society, UK. He is a Fellow of King’s College, Cambridge.

Originally published on the Shaw Prize website. 

Professor George Efstathiou has been awarded the Shaw Prize in Astronomy, one of the biggest prizes in the field.

Shaw PrizeJohn Richard Bond (left) and George Efstathiou (right)

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Efstathiou, Emeritus Professor of Astrophysics (1909) at Cambridge’s Institute of Astronomy, shares the prize with Professor John Richard Bond from the Canadian Institute for Theoretical Astrophysics and the University of Toronto.

They were recognised for their pioneering research in cosmology, in particular for their studies of fluctuations in the cosmic microwave background. Their predictions have been verified by an armada of ground-, balloon- and space-based instruments, leading to precise determinations of the age, geometry, and mass-energy content of the universe.

Cosmology has undergone a revolution in the past two decades, driven mainly by increasingly precise measurements of the angular power spectrum of fluctuations in the temperature and polarisation fields of the cosmic microwave background, a relic of the early universe, most notably by NASA’s Wilkinson Microwave Anisotropy Probe spacecraft (2001–2010) and the European Space Agency’s Planck spacecraft (2009–2013).

These fluctuations are small — the strength of the background radiation is the same in all directions to better than 0.01% and it is only slightly polarised — but they offer a glimpse of the universe when it was very young, a test of many aspects of fundamental physics, insights into the nature of dark matter and dark energy, and measurements of many fundamental cosmological parameters with accuracies unimaginable to cosmologists a few decades ago.

Although many researchers contributed to the development of the theoretical framework that governs the behaviour of the cosmic microwave background, Bond and Efstathiou emphasised the importance of the background as a cosmological probe and took the crucial step of making precise predictions for what can be learned from specific models of the history and the composition of the mass and energy in the universe.

Modern numerical codes used to interpret the experimental results are based almost entirely on the physics developed by Bond and Efstathiou. Their work exemplifies one of the rare cases in astrophysics where later experimental studies accurately confirmed unambiguous, powerful theoretical predictions.

The interpretation of these experiments through Bond and Efstathiou’s theoretical models shows that the spatial geometry of the observable universe is nearly flat, and yields the age of the universe with a precision of 0.15%, the rate of expansion of the universe with a precision of 0.5%, the fraction of the critical density arising from dark energy to better than 1%, and so on. The measurements also strongly constrain theories of the early universe that might have provided the initial “seed” for all the cosmic structure we see today, and the nature of the dark matter and dark energy that dominate the mass-energy content of the universe.

Both Bond and Efstathiou have worked closely with experimentalists to bring their predictions to the test: they have been heavily involved in the analysis of cosmic microwave background data arising from a wide variety of experiments of growing sophistication and accuracy.

George Efstathiou received his BA in Physics from the University of Oxford and PhD in Astronomy from Durham University. He has held postdoctoral fellowships at the University of California, Berkeley, USA and the University of Cambridge. He was Savilian Professor of Astrophysics at Oxford, where he served as Head of Astrophysics until 1994. He returned to Cambridge in 1997 as Professor of Astrophysics, where he also served as Director of the Institute of Astronomy and the first Director of the Kavli Institute for Cosmology. He received the 2022 Gold Medal of the Royal Astronomical Society. He is a Fellow of the Royal Society of London and the Royal Astronomical Society, UK. He is a Fellow of King’s College, Cambridge.

Originally published on the Shaw Prize website. 

Professor George Efstathiou has been awarded the Shaw Prize in Astronomy, one of the biggest prizes in the field.

Shaw PrizeJohn Richard Bond (left) and George Efstathiou (right)

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

First held in 1864, Varsity Athletics remains an enduring symbol of sporting excellence and tradition. This year’s event, hosted at Wilberforce Road Sports Ground in Cambridge, was made even more special by a prestigious recognition from World Athletics: the awarding of two Heritage Plaques to Cambridge University Athletic Club (CUAC) and the Varsity Match itself.

World Athletics Heritage Plaque

Founded in 1857, CUAC is one of the oldest athletics clubs in the world. It played a pivotal role in the development of modern athletics, contributing to the rules and formats that govern the sport today. "Cambridge University Athletic Club is among a small group of pioneering organisations that helped shape modern athletics," World Athletics noted in its announcement.

In honour of this distinguished history, World Athletics CEO and Cambridge alumnus Jon Ridgeon (Magdalene College) returned to his alma mater to present the plaques during the Varsity weekend. 

Athletics Varsity 2025

Living up to the historic occasion, fierce but friendly rivalry was on display, with Cambridge securing victories in:

• Men’s Blues
• Para Team
• Men's 2nds
• Women’s 2nds

In an interview with Varsity newspaper ahead of the Athletics Varsity, CUAC President Jess Poon reflected on the club’s evolution and the importance of the Varsity Matches. She highlighted the club’s embrace of inclusivity, particularly with the expansion of women's and para-athletics matches, and celebrated the sense of tradition and camaraderie that continues to define the event.

Athletics Varsity plaque giving

This milestone celebration aligns closely with the University’s priority to encourage participation in sport and physical activity at all levels. Sport plays a critical role in supporting mental wellbeing, fostering leadership and communication skills, and enhancing employability among students.

Across the University, activity priorities include:

• Club Support Programme: Aimed at helping sports clubs like CUAC deliver high-quality training and competition experiences, ensuring sustainability and growth.
• University of Cambridge Athlete Performance Programme (UCAPP): Providing specialist support for high-performing athletes, enabling them to excel both in their sport and academically.
• Active Students Initiative: Promoting sport and physical activity for all students, regardless of ability or experience level, through programmes like 'Give it a Go', designed to remove barriers and encourage lifelong engagement with physical activity.

Bhaskar Vira, Pro-Vice-Chancellor for Education and Chair of the Sports Committee, has expressed the University’s enthusiasm for supporting sport: "Involvement in physical activity and sports provides a much-needed release from the intense pressures that are associated with life at Cambridge. I firmly believe that these are inherently complementary pursuits, allowing participants to achieve a balance between their work commitments and their own personal wellbeing."

The 150th Men's, 50th Women's, and 2nd Para Athletics Varsity Matches not only celebrated a rich and trailblazing past but also pointed towards a vibrant future, powered by a University-wide commitment to excellence, inclusion, and wellbeing in sport.

As Cambridge looks to build on this legacy, the University invites alumni and supporters to help sustain and grow these opportunities - ensuring that generations of Cambridge students continue to benefit from the profound personal, academic, and societal advantages that sport and physical activity bring.

Find out more information on how to support sport at Cambridge.

Varsity Athletics team

 

The world’s oldest athletics competition — the annual contest between Cambridge and Oxford — reached a landmark celebration this year, commemorating 150 years of men's competition, 50 years of women's competition, and the second year of the para-athletics Varsity. 

Museum of World Athletics / James Rhodes

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution

First held in 1864, Varsity Athletics remains an enduring symbol of sporting excellence and tradition. This year’s event, hosted at Wilberforce Road Sports Ground in Cambridge, was made even more special by a prestigious recognition from World Athletics: the awarding of two Heritage Plaques to Cambridge University Athletic Club (CUAC) and the Varsity Match itself.

World Athletics Heritage Plaque

Founded in 1857, CUAC is one of the oldest athletics clubs in the world. It played a pivotal role in the development of modern athletics, contributing to the rules and formats that govern the sport today. "Cambridge University Athletic Club is among a small group of pioneering organisations that helped shape modern athletics," World Athletics noted in its announcement.

In honour of this distinguished history, World Athletics CEO and Cambridge alumnus Jon Ridgeon (Magdalene College) returned to his alma mater to present the plaques during the Varsity weekend. 

Athletics Varsity 2025

Living up to the historic occasion, fierce but friendly rivalry was on display, with Cambridge securing victories in:

• Men’s Blues
• Para Team
• Men's 2nds
• Women’s 2nds

In an interview with Varsity newspaper ahead of the Athletics Varsity, CUAC President Jess Poon reflected on the club’s evolution and the importance of the Varsity Matches. She highlighted the club’s embrace of inclusivity, particularly with the expansion of women's and para-athletics matches, and celebrated the sense of tradition and camaraderie that continues to define the event.

Athletics Varsity plaque giving

This milestone celebration aligns closely with the University’s priority to encourage participation in sport and physical activity at all levels. Sport plays a critical role in supporting mental wellbeing, fostering leadership and communication skills, and enhancing employability among students.

Across the University, activity priorities include:

• Club Support Programme: Aimed at helping sports clubs like CUAC deliver high-quality training and competition experiences, ensuring sustainability and growth.
• University of Cambridge Athlete Performance Programme (UCAPP): Providing specialist support for high-performing athletes, enabling them to excel both in their sport and academically.
• Active Students Initiative: Promoting sport and physical activity for all students, regardless of ability or experience level, through programmes like 'Give it a Go', designed to remove barriers and encourage lifelong engagement with physical activity.

Bhaskar Vira, Pro-Vice-Chancellor for Education and Chair of the Sports Committee, has expressed the University’s enthusiasm for supporting sport: "Involvement in physical activity and sports provides a much-needed release from the intense pressures that are associated with life at Cambridge. I firmly believe that these are inherently complementary pursuits, allowing participants to achieve a balance between their work commitments and their own personal wellbeing."

The 150th Men's, 50th Women's, and 2nd Para Athletics Varsity Matches not only celebrated a rich and trailblazing past but also pointed towards a vibrant future, powered by a University-wide commitment to excellence, inclusion, and wellbeing in sport.

As Cambridge looks to build on this legacy, the University invites alumni and supporters to help sustain and grow these opportunities - ensuring that generations of Cambridge students continue to benefit from the profound personal, academic, and societal advantages that sport and physical activity bring.

Find out more information on how to support sport at Cambridge.

Varsity Athletics team

 

The world’s oldest athletics competition — the annual contest between Cambridge and Oxford — reached a landmark celebration this year, commemorating 150 years of men's competition, 50 years of women's competition, and the second year of the para-athletics Varsity. 

Museum of World Athletics / James Rhodes

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution

The research team, led by the University of Cambridge, used the GPT-4 large language model (LLM) to identify hidden patterns buried in the mountains of scientific literature to identify potential new cancer drugs.

To test their approach, the researchers prompted GPT-4 to identify potential new drug combinations that could have a significant impact on a breast cancer cell line commonly used in medical research. They instructed it to avoid standard cancer drugs, identify drugs that would attack cancer cells while not harming healthy cells, and prioritise drugs that were affordable and approved by regulators.

The drug combinations suggested by GPT-4 were then tested by human scientists, both in combination and individually, to measure their effectiveness against breast cancer cells.

In the first lab-based test, three of the 12 drug combinations suggested by GPT-4 worked better than current breast cancer drugs. The LLM then learned from these tests and suggested a further four combinations, three of which also showed promising results.

The results, reported in the Journal of the Royal Society Interface, represent the first instance of a closed-loop system where experimental results guided an LLM, and LLM outputs – interpreted by human scientists – guided further experiments. The researchers say that tools such as LLMs are not a replacement for scientists, but could instead be supervised AI researchers, with the ability to originate, adapt and accelerate discovery in areas like cancer research.

Often, LLMs such as GPT-4 return results that aren’t true, known as hallucinations. However, in scientific research, hallucinations can sometimes be beneficial if they lead to new ideas that are worth testing.

“Supervised LLMs offer a scalable, imaginative layer of scientific exploration, and can help us as human scientists explore new paths that we hadn’t thought of before,” said Professor Ross King from Cambridge’s Department of Chemical Engineering and Biotechnology, who led the research. “This can be useful in areas such as drug discovery, where there are many thousands of compounds to search through.”

Based on the prompts provided by the human scientists, GPT-4 selected drugs based on the interplay between biological reasoning and hidden patterns in the scientific literature.

“This is not automation replacing scientists, but a new kind of collaboration,” said co-author Dr Hector Zenil from King’s College London. “Guided by expert prompts and experimental feedback, the AI functioned like a tireless research partner—rapidly navigating an immense hypothesis space and proposing ideas that would take humans alone far longer to reach.”

The hallucinations – normally viewed as flaws – became a feature, generating unconventional combinations worth testing and validating in the lab. The human scientists inspected the mechanistic reasons the LLM found to suggest these combinations in the first place, feeding the system back and forth in multiple iterations.

By exploring subtle synergies and overlooked pathways, GPT-4 helped identify six promising drug pairs, all tested through lab experiments. Among the combinations, simvastatin (commonly used to lower cholesterol) and disulfiram (used in alcohol dependence) stood out against breast cancer cells. Some of these combinations show potential for further research in therapeutic repurposing.

These drugs, while not traditionally associated with cancer care, could be potential cancer treatments, although they would first have to go through extensive clinical trials.

“This study demonstrates how AI can be woven directly into the iterative loop of scientific discovery, enabling adaptive, data-informed hypothesis generation and validation in real time,” said Zenil.

“The capacity of supervised LLMs to propose hypotheses across disciplines, incorporate prior results, and collaborate across iterations marks a new frontier in scientific research,” said King. “An AI scientist is no longer a metaphor without experimental validation: it can now be a collaborator in the scientific process.”

The research was supported in part by the Alice Wallenberg Foundation and the UK Engineering and Physical Sciences Research Council (EPSRC).

Reference:
Abbi Abdel-Rehim et al. ‘Scientific Hypothesis Generation by Large Language Models: Laboratory Validation in Breast Cancer Treatment.’ Journal of the Royal Society Interface (2025). DOI: 10.1098/rsif.2024.0674

An ‘AI scientist’, working in collaboration with human scientists, has found that combinations of cheap and safe drugs – used to treat conditions such as high cholesterol and alcohol dependence – could also be effective at treating cancer, a promising new approach to drug discovery.

STEVE GSCHMEISSNER/SCIENCE PHOTO LIBRARY via Getty ImagesScanning electron microscope image of breast cancer cells

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

The research team, led by the University of Cambridge, used the GPT-4 large language model (LLM) to identify hidden patterns buried in the mountains of scientific literature to identify potential new cancer drugs.

To test their approach, the researchers prompted GPT-4 to identify potential new drug combinations that could have a significant impact on a breast cancer cell line commonly used in medical research. They instructed it to avoid standard cancer drugs, identify drugs that would attack cancer cells while not harming healthy cells, and prioritise drugs that were affordable and approved by regulators.

The drug combinations suggested by GPT-4 were then tested by human scientists, both in combination and individually, to measure their effectiveness against breast cancer cells.

In the first lab-based test, three of the 12 drug combinations suggested by GPT-4 worked better than current breast cancer drugs. The LLM then learned from these tests and suggested a further four combinations, three of which also showed promising results.

The results, reported in the Journal of the Royal Society Interface, represent the first instance of a closed-loop system where experimental results guided an LLM, and LLM outputs – interpreted by human scientists – guided further experiments. The researchers say that tools such as LLMs are not a replacement for scientists, but could instead be supervised AI researchers, with the ability to originate, adapt and accelerate discovery in areas like cancer research.

Often, LLMs such as GPT-4 return results that aren’t true, known as hallucinations. However, in scientific research, hallucinations can sometimes be beneficial if they lead to new ideas that are worth testing.

“Supervised LLMs offer a scalable, imaginative layer of scientific exploration, and can help us as human scientists explore new paths that we hadn’t thought of before,” said Professor Ross King from Cambridge’s Department of Chemical Engineering and Biotechnology, who led the research. “This can be useful in areas such as drug discovery, where there are many thousands of compounds to search through.”

Based on the prompts provided by the human scientists, GPT-4 selected drugs based on the interplay between biological reasoning and hidden patterns in the scientific literature.

“This is not automation replacing scientists, but a new kind of collaboration,” said co-author Dr Hector Zenil from King’s College London. “Guided by expert prompts and experimental feedback, the AI functioned like a tireless research partner—rapidly navigating an immense hypothesis space and proposing ideas that would take humans alone far longer to reach.”

The hallucinations – normally viewed as flaws – became a feature, generating unconventional combinations worth testing and validating in the lab. The human scientists inspected the mechanistic reasons the LLM found to suggest these combinations in the first place, feeding the system back and forth in multiple iterations.

By exploring subtle synergies and overlooked pathways, GPT-4 helped identify six promising drug pairs, all tested through lab experiments. Among the combinations, simvastatin (commonly used to lower cholesterol) and disulfiram (used in alcohol dependence) stood out against breast cancer cells. Some of these combinations show potential for further research in therapeutic repurposing.

These drugs, while not traditionally associated with cancer care, could be potential cancer treatments, although they would first have to go through extensive clinical trials.

“This study demonstrates how AI can be woven directly into the iterative loop of scientific discovery, enabling adaptive, data-informed hypothesis generation and validation in real time,” said Zenil.

“The capacity of supervised LLMs to propose hypotheses across disciplines, incorporate prior results, and collaborate across iterations marks a new frontier in scientific research,” said King. “An AI scientist is no longer a metaphor without experimental validation: it can now be a collaborator in the scientific process.”

The research was supported in part by the Alice Wallenberg Foundation and the UK Engineering and Physical Sciences Research Council (EPSRC).

Reference:
Abbi Abdel-Rehim et al. ‘Scientific Hypothesis Generation by Large Language Models: Laboratory Validation in Breast Cancer Treatment.’ Journal of the Royal Society Interface (2025). DOI: 10.1098/rsif.2024.0674

An ‘AI scientist’, working in collaboration with human scientists, has found that combinations of cheap and safe drugs – used to treat conditions such as high cholesterol and alcohol dependence – could also be effective at treating cancer, a promising new approach to drug discovery.

STEVE GSCHMEISSNER/SCIENCE PHOTO LIBRARY via Getty ImagesScanning electron microscope image of breast cancer cells

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Imagine a plant with entirely new abilities – more nutritious food, crops that survive heatwaves, or leaves that grow useful materials. With new ARIA funding Cambridge researchers hope to unlock the technology to fast-track crop development and enhance plants with new qualities, like drought-tolerance to reduce the amount of water they need, or the ability to withstand pests and diseases.

Their research has the potential to revolutionise the future of agriculture and offer a radical new approach to securing food supply in the face of climate change.

Programmable plants – a major leap in plant biology

“We’re building the tools to make plants programmable, just like software. This isn’t science fiction – it’s the future of agriculture,” said Professor Jake Harris, Head of the Chromatin and Memory group, and project lead for one of the ARIA-funded projects.

Harris’ team is awarded £6.5 million to build the world’s first artificial plant chromosome.

The ambitious aim of the Synthetic Plants programme is to develop artificial chromosomes and chloroplasts that can survive in a living plant. If the teams achieve this, it will be one the most significant advances in plant synthetic biology.

The international team involves collaborators from The University of Western Australia, biotech company Phytoform Labs and the Australian Genome Foundry at Macquarie University.

“Our idea is that instead of modifying an existing chromosome, we design it from the ground up,” Professor Harris said.

He added: “We’re rethinking what plants can do for us. This synthetic chromosome could one day help grow crops that are more productive, more resilient, and better for the planet.”

While synthetic chromosomes have been achieved in simpler organisms, such as bacteria and yeast, this will be the first attempt to create and deploy one entirely from scratch in a plant.

The project will use the moss Physcomitrium patens – a unique, highly engineerable plant – as a development platform to build and test a bottom-up synthetic chromosome, before transferring it into potato plants.

It also opens new possibilities for growing food and medicines in space, and for indoor agriculture. It could allow scientists to give elite crop varieties disease resistance, or to grow productively in new climates and environments.

Unlocking powerful applications in agriculture

The second funded project, led by Professor Alison Smith and Dr Paweł Mordaka in the Plant Metabolism group, aims to use the synthetic chloroplasts to enable plants to fix nitrogen, and produce vitamin B12. The use of fertilisers to supply nitrogen and promote good crop yields is the greatest cause of pollution from agriculture; reducing the need for these would promote more sustainable food production systems.

This builds on their previous work to design and build the entire chloroplast genome for the simple single-cell alga Chlamydomonas reinhardtii.

The Cambridge researchers are awarded almost £1 million, as part of a £9 million grant to this project. They are working with an international team of researchers from the UK, USA and Germany to transfer this technology to build synthetic chloroplasts in potato plants.

Professor Smith said: “Our success would unlock powerful applications in agriculture, like plants capable of nitrogen fixation or producing essential nutrients like vitamin B12, potentially reducing fertiliser dependence and addressing malnutrition. These traits have tremendous potential should they be engineered into plants.”

She added: “It will enable scientists to surpass what can be accomplished with gene editing and equip plants with new functions, from reducing agricultural water use to protecting crop yields in uncertain conditions.”

A unique opportunity

The ambitiousness of this project is outside the scope of most other UK funding schemes. Professor Harris believes this stems from ARIA’s unique approach to developing the research opportunity and goal along with the research community.

Harris said: “ARIA had a couple of events with synthetic biologists to look at what’s on the edge of possible, what could be useful as a moonshot approach that could really change things.”

He added: “It’s a totally different way of seeing things. We went from ‘here’s what we want to see in the world’ to ‘how are we going to get there?’ It catalysed a different team and a different way of thinking.”

“This work moves us beyond the limitations of natural genomes. It’s about designing entirely new capabilities in plants – from the molecular level up.”

Currently, it typically takes eight years to develop a new crop variety in the UK, but with this new technology it could be a matter of one year or even less. The speed of development would be dramatically increased, much in the way that revolutionary protein-folding technology like AlphaFold has massively accelerated the process of drug discovery.

Synthetic biology is already revolutionising the world of healthcare and could transform agriculture if applied to tailoring plant traits.

 

Two groups involving researchers from the University of Cambridge’s Department of Plant Sciences are among nine teams to have been awarded funding today from the UK’s Advanced Research + Invention Agency (ARIA)’s Synthetic Plants programme.

We’re building the tools to make plants programmable, just like software. This isn’t science fiction – it’s the future of agriculture.Jake Harrispkujiahe on GettyGloved hand holding plant in pot

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution-Noncommerical

Imagine a plant with entirely new abilities – more nutritious food, crops that survive heatwaves, or leaves that grow useful materials. With new ARIA funding Cambridge researchers hope to unlock the technology to fast-track crop development and enhance plants with new qualities, like drought-tolerance to reduce the amount of water they need, or the ability to withstand pests and diseases.

Their research has the potential to revolutionise the future of agriculture and offer a radical new approach to securing food supply in the face of climate change.

Programmable plants – a major leap in plant biology

“We’re building the tools to make plants programmable, just like software. This isn’t science fiction – it’s the future of agriculture,” said Professor Jake Harris, Head of the Chromatin and Memory group, and project lead for one of the ARIA-funded projects.

Harris’ team is awarded £6.5 million to build the world’s first artificial plant chromosome.

The ambitious aim of the Synthetic Plants programme is to develop artificial chromosomes and chloroplasts that can survive in a living plant. If the teams achieve this, it will be one the most significant advances in plant synthetic biology.

The international team involves collaborators from The University of Western Australia, biotech company Phytoform Labs and the Australian Genome Foundry at Macquarie University.

“Our idea is that instead of modifying an existing chromosome, we design it from the ground up,” Professor Harris said.

He added: “We’re rethinking what plants can do for us. This synthetic chromosome could one day help grow crops that are more productive, more resilient, and better for the planet.”

While synthetic chromosomes have been achieved in simpler organisms, such as bacteria and yeast, this will be the first attempt to create and deploy one entirely from scratch in a plant.

The project will use the moss Physcomitrium patens – a unique, highly engineerable plant – as a development platform to build and test a bottom-up synthetic chromosome, before transferring it into potato plants.

It also opens new possibilities for growing food and medicines in space, and for indoor agriculture. It could allow scientists to give elite crop varieties disease resistance, or to grow productively in new climates and environments.

Unlocking powerful applications in agriculture

The second funded project, led by Professor Alison Smith and Dr Paweł Mordaka in the Plant Metabolism group, aims to use the synthetic chloroplasts to enable plants to fix nitrogen, and produce vitamin B12. The use of fertilisers to supply nitrogen and promote good crop yields is the greatest cause of pollution from agriculture; reducing the need for these would promote more sustainable food production systems.

This builds on their previous work to design and build the entire chloroplast genome for the simple single-cell alga Chlamydomonas reinhardtii.

The Cambridge researchers are awarded almost £1 million, as part of a £9 million grant to this project. They are working with an international team of researchers from the UK, USA and Germany to transfer this technology to build synthetic chloroplasts in potato plants.

Professor Smith said: “Our success would unlock powerful applications in agriculture, like plants capable of nitrogen fixation or producing essential nutrients like vitamin B12, potentially reducing fertiliser dependence and addressing malnutrition. These traits have tremendous potential should they be engineered into plants.”

She added: “It will enable scientists to surpass what can be accomplished with gene editing and equip plants with new functions, from reducing agricultural water use to protecting crop yields in uncertain conditions.”

A unique opportunity

The ambitiousness of this project is outside the scope of most other UK funding schemes. Professor Harris believes this stems from ARIA’s unique approach to developing the research opportunity and goal along with the research community.

Harris said: “ARIA had a couple of events with synthetic biologists to look at what’s on the edge of possible, what could be useful as a moonshot approach that could really change things.”

He added: “It’s a totally different way of seeing things. We went from ‘here’s what we want to see in the world’ to ‘how are we going to get there?’ It catalysed a different team and a different way of thinking.”

“This work moves us beyond the limitations of natural genomes. It’s about designing entirely new capabilities in plants – from the molecular level up.”

Currently, it typically takes eight years to develop a new crop variety in the UK, but with this new technology it could be a matter of one year or even less. The speed of development would be dramatically increased, much in the way that revolutionary protein-folding technology like AlphaFold has massively accelerated the process of drug discovery.

Synthetic biology is already revolutionising the world of healthcare and could transform agriculture if applied to tailoring plant traits.

 

Two groups involving researchers from the University of Cambridge’s Department of Plant Sciences are among nine teams to have been awarded funding today from the UK’s Advanced Research + Invention Agency (ARIA)’s Synthetic Plants programme.

We’re building the tools to make plants programmable, just like software. This isn’t science fiction – it’s the future of agriculture.Jake Harrispkujiahe on GettyGloved hand holding plant in pot

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution-Noncommerical

Dealroom’s Global Tech Ecosystem Index analyses and compares start-up ecosystems in 288 cities across 69 countries. To measure innovation intensity, it looks for ecosystems that are performing well relative to their population size. These hubs typically have high start-up activity, research intensity and strong links with local universities.

Diarmuid O’Brien, Pro-Vice-Chancellor for Innovation at the University of Cambridge, said: “It’s great to see that, as a relatively small city, Cambridge continues to lead the UK in innovation intensity but it’s no accident that we punch above our weight. In recent years, the University and the wider ecosystem have put in place a range of initiatives to ensure that we realise our potential and are able to bring transformative science and technologies out of the lab and into the real world.”

Gerard Grech, Head of Founders at the University of Cambridge, which supports new ventures emerging from the University, added: “Cambridge is proof of what happens when world-class research meets relentless ambition. While global venture capital funding in 2024 pulled back, Cambridge doubled investment - a powerful signal that deep tech innovation is increasingly leading the way in shaping our future economies.

“What makes Cambridge unique is its cutting-edge science, an increasing flywheel of people who have successfully scaled ventures, and a culture built to turn ground-breaking ideas into transformative companies.”

A new report by Dealroom shows that Cambridge is, for its size, the most innovative city in the UK. Globally, it ranks fourth behind US innovation powerhouses San Francisco, Boston and New York. 

Hand holding test tubes in a lab

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Dealroom’s Global Tech Ecosystem Index analyses and compares start-up ecosystems in 288 cities across 69 countries. To measure innovation intensity, it looks for ecosystems that are performing well relative to their population size. These hubs typically have high start-up activity, research intensity and strong links with local universities.

Diarmuid O’Brien, Pro-Vice-Chancellor for Innovation at the University of Cambridge, said: “It’s great to see that, as a relatively small city, Cambridge continues to lead the UK in innovation intensity but it’s no accident that we punch above our weight. In recent years, the University and the wider ecosystem have put in place a range of initiatives to ensure that we realise our potential and are able to bring transformative science and technologies out of the lab and into the real world.”

Gerard Grech, Head of Founders at the University of Cambridge, which supports new ventures emerging from the University, added: “Cambridge is proof of what happens when world-class research meets relentless ambition. While global venture capital funding in 2024 pulled back, Cambridge doubled investment - a powerful signal that deep tech innovation is increasingly leading the way in shaping our future economies.

“What makes Cambridge unique is its cutting-edge science, an increasing flywheel of people who have successfully scaled ventures, and a culture built to turn ground-breaking ideas into transformative companies.”

A new report by Dealroom shows that Cambridge is, for its size, the most innovative city in the UK. Globally, it ranks fourth behind US innovation powerhouses San Francisco, Boston and New York. 

Hand holding test tubes in a lab

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

The new Fellows have been recognised for their remarkable contributions to advancing medical science, groundbreaking research discoveries and translating developments into benefits for patients and the wider public. Their work exemplifies the Academy’s mission to create an open and progressive research sector that improves health for everyone.

They join an esteemed Fellowship of 1,450 researchers who are at the heart of the Academy’s work, which includes nurturing the next generation of scientists and shaping research and health policy in the UK and worldwide.

One of Cambridge’s new Fellows, Professor Sam Behjati, is a former recipient of the Academy’s prestigious Foulkes Foundation medal, which recognises rising stars within biomedical research. Sam is Clinical Professor of Paediatric Oncology at the University and an Honorary Consultant Paediatric Oncologist at Addenbrooke’s Hospital, as well as Group Leader at the Wellcome Sanger Institute. His research is rooted in cancer genomics, phylogenetics, and single cell transcriptomics and spans a wide range of diseases and biological problems. More recently, his work has focused on the origin of cancers, in particular of childhood cancer. In addition, he explores how to use genomic data to improve the treatment of children. Sam is a Fellow at Corpus Christi College, Cambridge.

Also elected to the Academy of Medical Sciences Fellowship are:

Professor Clare Bryant, Departments of Medicine and Veterinary Medicine

Clare Bryant is Professor of Innate Immunity. She studies innate immune cell signalling during bacterial infection to answer fundamental questions about host-pathogen interactions and to search for new drugs to modify them. She also applies these approaches to study inflammatory signalling in chronic diseases of humans and animals.  Clare has extensive collaborations with many pharmaceutical companies, is on the scientific advisory board of several biotech companies, and helped found the natural product company Polypharmakos. Clare is a Fellow of Queens’ College, Cambridge.

Professor Frank Reimann, Institute of Metabolic Science-Metabolic Research Laboratories

Frank Reimann is Professor of Endocrine Signaling. The main focus of his group, run in close partnership with Fiona Gribble, is the enteroendocrine system within the gut, which helps regulate digestion, metabolism, and how full we feel. Their work has included the use of animal models and human cellular models to understand how cells function. One of these cells, glucagon-like peptide-1 (GLP-1) is the target of therapies now widely used in the treatment of diabetes mellitus and obesity. How cells shape feeding behaviour has become a major focus of the lab in recent years.

Professor Mina Ryten, UK Dementia Research Institute

Mina Ryten is a clinical geneticist and neuroscientist, and Director of the UK Dementia Research Institute at Cambridge since January 2024. She also holds the Van Geest Professorship and leads a lab focused on understanding molecular mechanisms driving neurodegeneration. Mina’s research looks at how genetic variation influences neurological diseases, particularly Lewy body disorders. Her work has advanced the use of single cell and long-read RNA sequencing to map disease pathways and identify potential targets for new treatments. Her expertise in clinical care and functional genomics has enabled her to bridge the gap between patient experience and scientific discovery.

Professor Andrew Morris CBE FRSE PMedSci, President of the Academy of Medical Sciences, said: “The breadth of disciplines represented in this year’s cohort – from mental health and infectious disease to cancer biology and respiratory medicine – reflects the rich diversity of medical science today. Their election comes at a crucial time when scientific excellence and collaboration across disciplines are essential for addressing global health challenges both now and in the future. We look forward to working with them to advance biomedical research and create an environment where the best science can flourish for the benefit of people everywhere.”

The new Fellows will be formally admitted to the Academy at a ceremony on Wednesday 9 July 2025.

Four Cambridge biomedical and health researchers are among those announced today as newly-elected Fellows of the Academy of Medical Sciences.

Big T Images for Academy of Medical SciencesAcademy of Medical Sciences plaque

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

The new Fellows have been recognised for their remarkable contributions to advancing medical science, groundbreaking research discoveries and translating developments into benefits for patients and the wider public. Their work exemplifies the Academy’s mission to create an open and progressive research sector that improves health for everyone.

They join an esteemed Fellowship of 1,450 researchers who are at the heart of the Academy’s work, which includes nurturing the next generation of scientists and shaping research and health policy in the UK and worldwide.

One of Cambridge’s new Fellows, Professor Sam Behjati, is a former recipient of the Academy’s prestigious Foulkes Foundation medal, which recognises rising stars within biomedical research. Sam is Clinical Professor of Paediatric Oncology at the University and an Honorary Consultant Paediatric Oncologist at Addenbrooke’s Hospital, as well as Group Leader at the Wellcome Sanger Institute. His research is rooted in cancer genomics, phylogenetics, and single cell transcriptomics and spans a wide range of diseases and biological problems. More recently, his work has focused on the origin of cancers, in particular of childhood cancer. In addition, he explores how to use genomic data to improve the treatment of children. Sam is a Fellow at Corpus Christi College, Cambridge.

Also elected to the Academy of Medical Sciences Fellowship are:

Professor Clare Bryant, Departments of Medicine and Veterinary Medicine

Clare Bryant is Professor of Innate Immunity. She studies innate immune cell signalling during bacterial infection to answer fundamental questions about host-pathogen interactions and to search for new drugs to modify them. She also applies these approaches to study inflammatory signalling in chronic diseases of humans and animals.  Clare has extensive collaborations with many pharmaceutical companies, is on the scientific advisory board of several biotech companies, and helped found the natural product company Polypharmakos. Clare is a Fellow of Queens’ College, Cambridge.

Professor Frank Reimann, Institute of Metabolic Science-Metabolic Research Laboratories

Frank Reimann is Professor of Endocrine Signaling. The main focus of his group, run in close partnership with Fiona Gribble, is the enteroendocrine system within the gut, which helps regulate digestion, metabolism, and how full we feel. Their work has included the use of animal models and human cellular models to understand how cells function. One of these cells, glucagon-like peptide-1 (GLP-1) is the target of therapies now widely used in the treatment of diabetes mellitus and obesity. How cells shape feeding behaviour has become a major focus of the lab in recent years.

Professor Mina Ryten, UK Dementia Research Institute

Mina Ryten is a clinical geneticist and neuroscientist, and Director of the UK Dementia Research Institute at Cambridge since January 2024. She also holds the Van Geest Professorship and leads a lab focused on understanding molecular mechanisms driving neurodegeneration. Mina’s research looks at how genetic variation influences neurological diseases, particularly Lewy body disorders. Her work has advanced the use of single cell and long-read RNA sequencing to map disease pathways and identify potential targets for new treatments. Her expertise in clinical care and functional genomics has enabled her to bridge the gap between patient experience and scientific discovery.

Professor Andrew Morris CBE FRSE PMedSci, President of the Academy of Medical Sciences, said: “The breadth of disciplines represented in this year’s cohort – from mental health and infectious disease to cancer biology and respiratory medicine – reflects the rich diversity of medical science today. Their election comes at a crucial time when scientific excellence and collaboration across disciplines are essential for addressing global health challenges both now and in the future. We look forward to working with them to advance biomedical research and create an environment where the best science can flourish for the benefit of people everywhere.”

The new Fellows will be formally admitted to the Academy at a ceremony on Wednesday 9 July 2025.

Four Cambridge biomedical and health researchers are among those announced today as newly-elected Fellows of the Academy of Medical Sciences.

Big T Images for Academy of Medical SciencesAcademy of Medical Sciences plaque

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Around 10% of women have very dense breasts. Between the ages of 50 and 70, these women are up to four-times more likely to develop breast cancer compared to women with low breast density.

Over 2.2 million women receive breast screening in the UK each year. For women with very dense breasts, mammograms (breast X-rays), which are used for breast screening, can be less effective at detecting cancer. This is because denser breasts look whiter on mammograms, which makes it harder to spot small early-stage cancers which also appear white.

Published today in The Lancet, a trial of over 9000 women across the UK who have dense breasts and had a negative (no cancer) mammogram result, found 85 cancers.

The trial, called BRAID, tested different scanning methods that could be used in addition to mammograms to detect cancers in dense breasts. Per 1000 women screened, two of the methods detected 17-19 cancers that were not seen in mammograms.

The two methods are known as CEM (contrast enhanced mammography) and AB-MRI (abbreviated magnetic resonance imaging).

The researchers that ran the trial recommend that adding either of these methods to existing breast screening could detect 3,500 more cancers per year in the UK. Estimates suggest that screening reduces mortality for about 20% of cancers detected, so this could mean an extra 700 lives saved each year.

BRAID also included a third scanning method, ABUS (automated whole breast ultrasound), which also detected cancers not seen in mammograms but was three times less effective than CEM and AB-MRI.

Each of the three methods was used to scan around 2000 women. Per 1000 women scanned, CEM detected 19 cancers, AB-MRI found 17 cancers, and ABUS found 4.

Mammograms already detect approximately 8 cancers per 1000 women with dense breasts. This means additional scans could more than treble breast cancer detection in this group of women.

BRAID is the first trial to directly compare supplemental imaging methods and to demonstrate their value for early cancer detection as part of widespread screening. The team hope their results will be used to enhance screening programmes in the UK and globally to diagnose more cancers early.

More work is needed to confirm whether additional scans will reduce the number of deaths as cancers detected through screening are not always life-threatening.

The trial was led from Cambridge. It recruited across 10 UK sites, including over 2000 women at Addenbrooke’s Hospital, Cambridge.

The research was led by Professor Fiona Gilbert, Department of Radiology, University of Cambridge and honorary consultant radiologist at Addenbrooke’s Hospital, part of Cambridge University Hospitals NHS Foundation Trust (CUH). The trial was funded by Cancer Research UK with support from the National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre (BRC).

Professor Gilbert said: “Getting a cancer diagnosis early makes a huge difference for patients in terms of their treatment and outlook. We need to change our national screening programme so we can make sure more cancers are diagnosed early, giving many more women a much better chance of survival.”

Professor Stephen Duffy, Emeritus Professor, Queen Mary University, London, trial statistician and screening programme expert said: “The NHS Breast Screening Programme has made a huge difference to many lives. Thanks to these results we can see that the technology exists to make screening even better, particularly for the 10% of women with dense breast tissue."

Dr David Crosby, head of prevention and early detection at Cancer Research UK, said: “Breast cancer screening is for people without symptoms and helps to spot the disease at an early stage, when treatment is more likely to be successful. But having dense breasts can make it harder to detect cancer.

“This study shows that making blood vessels more visible during mammograms could make it much easier for doctors to spot signs of cancer in women with dense breasts. More research is needed to fully understand the effectiveness of these techniques, but these results are encouraging.

“Remember, having dense breasts is not something you can check for yourself or change, but if you’re concerned at all, you can speak to your GP.”

Reference
Gilbert, FJ et al. Comparison of supplemental imaging techniques – interim results of BRAID (Breast Screening: risk adapted imaging for density) randomized controlled trial. Lancet; 22 May 2025; DOI: 10.1016/S0140-6736(25)00582-3 

Press release from Cambridge University Hospitals NHS Foundation Trust

Researchers in Cambridge are calling for additional scans to be added to breast screening for women with very dense breasts. This follows a large-scale trial, which shows that extra scans could treble cancer detection for these women potentially saving up to 700 lives a year in the UK.

We need to change our national screening programme so we can make sure more cancers are diagnosed early, giving many more women a much better chance of survivalFiona GilbertTom Werner (Getty Images)Woman undergoing mammogram procedure - stock photoLouise’s story

Louise Duffield, age 60, a grandmother of four from Ely was diagnosed with early-stage breast cancer as a result of the BRAID trial.

Louise works in local government. She spends her free time knitting, and visiting 1940s events around the UK with her husband, Fred, and their two restored wartime Jeep. She is enthusiastic about clinical research and has previously participated as a healthy participant in several studies.

In 2023, Louise was invited to participate in the BRAID trial following her regular mammogram screening, which showed that she had very dense breasts. As part of the trial, Louise had an AB-MRI scan which identified a small lump deep inside one of her breasts.

“When they rang to say they’d found something, it was a big shock. You start thinking all sorts of things but, in the end, I just thought, at least if they’ve found something, they’ve found it early. The staff were brilliant, and so supportive.”

Soon after the MRI, Louise had a biopsy that confirmed she had stage 0 (very early) breast cancer within the ducts of one of her breasts. Six weeks later Louise underwent surgery to remove the tumour, during that time the tumour had already grown larger than it appeared on the scans.

“It’s been a stressful time and it’s a huge relief to have it gone. The team have been fantastic throughout. The tumour was deep in the breast so, if I hadn’t been on the trial, it could have gone unnoticed for years.

“I feel very lucky, it almost doesn’t feel like I’ve really had cancer. Without this research I could have had a very different experience.”

The location of Louise’s tumour meant it would have been difficult for her to find it through self-examination, and since it was not detected during her regular mammogram it would have been at least three years before she was invited for another.

Following a short course of radiotherapy, Louise is now cancer free. She will continue to be monitored for several years and will continue to be attending her regular mammograms every three years as part of the national breast cancer screening programme.

“This experience has highlighted to me how important screening is. If I hadn’t had the mammogram, I wouldn’t have been invited to the trial. Getting treated was so quick because they found the cancer early.”

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Around 10% of women have very dense breasts. Between the ages of 50 and 70, these women are up to four-times more likely to develop breast cancer compared to women with low breast density.

Over 2.2 million women receive breast screening in the UK each year. For women with very dense breasts, mammograms (breast X-rays), which are used for breast screening, can be less effective at detecting cancer. This is because denser breasts look whiter on mammograms, which makes it harder to spot small early-stage cancers which also appear white.

Published today in The Lancet, a trial of over 9000 women across the UK who have dense breasts and had a negative (no cancer) mammogram result, found 85 cancers.

The trial, called BRAID, tested different scanning methods that could be used in addition to mammograms to detect cancers in dense breasts. Per 1000 women screened, two of the methods detected 17-19 cancers that were not seen in mammograms.

The two methods are known as CEM (contrast enhanced mammography) and AB-MRI (abbreviated magnetic resonance imaging).

The researchers that ran the trial recommend that adding either of these methods to existing breast screening could detect 3,500 more cancers per year in the UK. Estimates suggest that screening reduces mortality for about 20% of cancers detected, so this could mean an extra 700 lives saved each year.

BRAID also included a third scanning method, ABUS (automated whole breast ultrasound), which also detected cancers not seen in mammograms but was three times less effective than CEM and AB-MRI.

Each of the three methods was used to scan around 2000 women. Per 1000 women scanned, CEM detected 19 cancers, AB-MRI found 17 cancers, and ABUS found 4.

Mammograms already detect approximately 8 cancers per 1000 women with dense breasts. This means additional scans could more than treble breast cancer detection in this group of women.

BRAID is the first trial to directly compare supplemental imaging methods and to demonstrate their value for early cancer detection as part of widespread screening. The team hope their results will be used to enhance screening programmes in the UK and globally to diagnose more cancers early.

More work is needed to confirm whether additional scans will reduce the number of deaths as cancers detected through screening are not always life-threatening.

The trial was led from Cambridge. It recruited across 10 UK sites, including over 2000 women at Addenbrooke’s Hospital, Cambridge.

The research was led by Professor Fiona Gilbert, Department of Radiology, University of Cambridge and honorary consultant radiologist at Addenbrooke’s Hospital, part of Cambridge University Hospitals NHS Foundation Trust (CUH). The trial was funded by Cancer Research UK with support from the National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre (BRC).

Professor Gilbert said: “Getting a cancer diagnosis early makes a huge difference for patients in terms of their treatment and outlook. We need to change our national screening programme so we can make sure more cancers are diagnosed early, giving many more women a much better chance of survival.”

Professor Stephen Duffy, Emeritus Professor, Queen Mary University, London, trial statistician and screening programme expert said: “The NHS Breast Screening Programme has made a huge difference to many lives. Thanks to these results we can see that the technology exists to make screening even better, particularly for the 10% of women with dense breast tissue."

Dr David Crosby, head of prevention and early detection at Cancer Research UK, said: “Breast cancer screening is for people without symptoms and helps to spot the disease at an early stage, when treatment is more likely to be successful. But having dense breasts can make it harder to detect cancer.

“This study shows that making blood vessels more visible during mammograms could make it much easier for doctors to spot signs of cancer in women with dense breasts. More research is needed to fully understand the effectiveness of these techniques, but these results are encouraging.

“Remember, having dense breasts is not something you can check for yourself or change, but if you’re concerned at all, you can speak to your GP.”

Reference
Gilbert, FJ et al. Comparison of supplemental imaging techniques – interim results of BRAID (Breast Screening: risk adapted imaging for density) randomized controlled trial. Lancet; 22 May 2025; DOI: 10.1016/S0140-6736(25)00582-3 

Press release from Cambridge University Hospitals NHS Foundation Trust

Researchers in Cambridge are calling for additional scans to be added to breast screening for women with very dense breasts. This follows a large-scale trial, which shows that extra scans could treble cancer detection for these women potentially saving up to 700 lives a year in the UK.

We need to change our national screening programme so we can make sure more cancers are diagnosed early, giving many more women a much better chance of survivalFiona GilbertTom Werner (Getty Images)Woman undergoing mammogram procedure - stock photoLouise’s story

Louise Duffield, age 60, a grandmother of four from Ely was diagnosed with early-stage breast cancer as a result of the BRAID trial.

Louise works in local government. She spends her free time knitting, and visiting 1940s events around the UK with her husband, Fred, and their two restored wartime Jeep. She is enthusiastic about clinical research and has previously participated as a healthy participant in several studies.

In 2023, Louise was invited to participate in the BRAID trial following her regular mammogram screening, which showed that she had very dense breasts. As part of the trial, Louise had an AB-MRI scan which identified a small lump deep inside one of her breasts.

“When they rang to say they’d found something, it was a big shock. You start thinking all sorts of things but, in the end, I just thought, at least if they’ve found something, they’ve found it early. The staff were brilliant, and so supportive.”

Soon after the MRI, Louise had a biopsy that confirmed she had stage 0 (very early) breast cancer within the ducts of one of her breasts. Six weeks later Louise underwent surgery to remove the tumour, during that time the tumour had already grown larger than it appeared on the scans.

“It’s been a stressful time and it’s a huge relief to have it gone. The team have been fantastic throughout. The tumour was deep in the breast so, if I hadn’t been on the trial, it could have gone unnoticed for years.

“I feel very lucky, it almost doesn’t feel like I’ve really had cancer. Without this research I could have had a very different experience.”

The location of Louise’s tumour meant it would have been difficult for her to find it through self-examination, and since it was not detected during her regular mammogram it would have been at least three years before she was invited for another.

Following a short course of radiotherapy, Louise is now cancer free. She will continue to be monitored for several years and will continue to be attending her regular mammograms every three years as part of the national breast cancer screening programme.

“This experience has highlighted to me how important screening is. If I hadn’t had the mammogram, I wouldn’t have been invited to the trial. Getting treated was so quick because they found the cancer early.”

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Presented by The Sainsbury Laboratory Cambridge University, the exhibit is part of a brand-new GreenSTEM section that celebrates cutting-edge research and innovation in the world of plant science.

Blooming Numbers takes visitors on an immersive journey through the latest discoveries in quantitative plant biology—starting with the humble flower and diving deep into molecular biology, genetics, imaging technologies, computational modelling, and the often-overlooked mathematical patterns that govern plant development.

“This award is just so exciting,” said Kathy Grube from the Sainsbury Laboratory.

“We came in in the morning to water the plants and turn on the microscopes, and the medal had been laid out by the judges. We were jumping up and down when we found it.”

The eye-catching exhibit was a collaborative effort across multiple Cambridge institutions and partners. The University’s Department of Engineering co-designed the infrastructure, drawing inspiration from the Fibonacci sequence—an iconic numerical pattern found throughout nature. The Pollinator Patch, a lush highlight of the exhibit, was designed and cultivated by Oakington Garden Centre to demonstrate pollinator-friendly planting. Darwin Nurseries added wildlife-friendly hanging baskets that captivated visitors and judges alike.

“One of our fellow exhibitors, who have been coming to Chelsea for years, told us that getting a silver-gilt on your first try is a real achievement,” said Kathy.

“The judges came over and said the design of the stand was fantastic, and they loved the interactive exhibits. We’re just so honoured.”

The RHS Chelsea Flower Show, the world’s most famous horticultural show, runs until the end of the week and attracts horticultural experts, designers, and plant lovers from across the globe.
 

The University of Cambridge has made a dazzling debut at the RHS Chelsea Flower Show, winning a prestigious silver-gilt medal for its interactive plant science exhibit, Blooming Numbers.

The Sainsbury Laboratory Cambridge University

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesRelated Links: GreenSTEM spotlights horticultural science at RHS Chelsea Flower Show

Presented by The Sainsbury Laboratory Cambridge University, the exhibit is part of a brand-new GreenSTEM section that celebrates cutting-edge research and innovation in the world of plant science.

Blooming Numbers takes visitors on an immersive journey through the latest discoveries in quantitative plant biology—starting with the humble flower and diving deep into molecular biology, genetics, imaging technologies, computational modelling, and the often-overlooked mathematical patterns that govern plant development.

“This award is just so exciting,” said Kathy Grube from the Sainsbury Laboratory.

“We came in in the morning to water the plants and turn on the microscopes, and the medal had been laid out by the judges. We were jumping up and down when we found it.”

The eye-catching exhibit was a collaborative effort across multiple Cambridge institutions and partners. The University’s Department of Engineering co-designed the infrastructure, drawing inspiration from the Fibonacci sequence—an iconic numerical pattern found throughout nature. The Pollinator Patch, a lush highlight of the exhibit, was designed and cultivated by Oakington Garden Centre to demonstrate pollinator-friendly planting. Darwin Nurseries added wildlife-friendly hanging baskets that captivated visitors and judges alike.

“One of our fellow exhibitors, who have been coming to Chelsea for years, told us that getting a silver-gilt on your first try is a real achievement,” said Kathy.

“The judges came over and said the design of the stand was fantastic, and they loved the interactive exhibits. We’re just so honoured.”

The RHS Chelsea Flower Show, the world’s most famous horticultural show, runs until the end of the week and attracts horticultural experts, designers, and plant lovers from across the globe.
 

The University of Cambridge has made a dazzling debut at the RHS Chelsea Flower Show, winning a prestigious silver-gilt medal for its interactive plant science exhibit, Blooming Numbers.

The Sainsbury Laboratory Cambridge University

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesRelated Links: GreenSTEM spotlights horticultural science at RHS Chelsea Flower Show

“It is with great pleasure that I welcome the latest cohort of outstanding researchers into the Fellowship of the Royal Society,” said Sir Adrian Smith, President of the Royal Society. “Their achievements represent the very best of scientific endeavour, from basic discovery to research with real-world impact across health, technology and policy. From tackling global health challenges to reimagining what AI can do for humanity, their work is a testament to the power of curiosity-driven research and innovation.

“The strength of the Fellowship lies not only in individual excellence, but in the diversity of backgrounds, perspectives and experiences each new member brings. This cohort represents the truly global nature of modern science and the importance of collaboration in driving scientific breakthroughs.”

The Fellows and Foreign Members join the ranks of Stephen Hawking, Isaac Newton, Charles Darwin, Albert Einstein, Lise Meitner, Subrahmanyan Chandrasekhar and Dorothy Hodgkin.

The new Cambridge fellows are:

Professor Edward Bullmore FMedSci FRS

Professor Ed Bullmore is Professor of Psychiatry and former Head of the Department of Psychiatry. His research mainly involves the application of brain imaging to psychiatry. He has introduced an entirely original approach to the analysis of human brain anatomy, involving graph theory and its application to small-world networks. This has had an enormous impact on the field, especially in relation to understanding the biological basis of schizophrenia and depression. His work has been key to the understanding of the 'wiring' of the human brain.

Professor Gábor Csányi FRS

Professor Gábor Csányi is Professor of Molecular Modelling in the Department of Engineering, and a Fellow of Pembroke College. His work is in the field of computational chemistry, and is focused on developing algorithms to predict the properties of materials and molecules from first principles. He pioneered the application of machine learning to molecular modelling which lead to enormous gains in the efficiency of molecular dynamics simulation.

Professor Judith Driscoll FRS

Professor Judith Driscoll is Professor of Materials Science in the Department of Materials Science and Metallurgy, and a Fellow of Trinity College. Her research is concerned with the nanoscale design and tuning of functional oxide thin film materials for energy-efficient electronic applications. A particular focus of her research group is oxide thin films, owing to their wide range of functionalities and their stability. However, their compositions tend to be complex, defects are prevalent, and interface effects play a strong role. Also, for many applications device structural dimensions are required down to nanometre length-scales. Together, all these factors produce exciting challenges for the materials scientist.

Professor Marie Edmonds FRS

Professor Marie Edmonds is Head of Department and Professor of Volcanology and Petrology in the Department of Earth Sciences. She is also a Fellow of Queens’ College. Her research focuses on understanding the impact of volcanoes on our environment and on the habitability of our planet. Her research spans the boundaries between traditional disciplines, from deciphering the nature of the interior of the Earth, to magma transport and storage in the crust, to volcano monitoring, understanding ore deposits and the dynamic chemistry of volcanic gases in the atmosphere and climate.

Professor Julian Hibberd FRS

Professor Julian Hibberd is Head of the Department of Plant Sciences and a Fellow of Emmanuel College. His research focuses on guiding optimisation of photosynthesis to improve crop yields. The C4 pathway is a complex form of photosynthesis that evolved around 30 million years ago and is now used by the most productive plants on the planet. Professor Hibberd has provided key insights into the evolution of C4 photosynthesis through analysis of plant physiology, cell specialisation, organelle development, and the control of gene expression.

Dr Gregory Jefferis FRS

Dr Gregory Jefferis is Joint Head of the Neurobiology Division at the MRC Laboratory of Molecular Biology and Director of Research of the Department of Zoology. The broad goal of his research is to understand how smell turns into behaviour in the fruit fly brain. His group is particularly interested in how odour information is processed by the higher olfactory centres that mediate innate and learned behaviour.

Professor Jason Miller FRS

Professor Jason Miller is a Professor in the Department of Pure Mathematics and Mathematical Statistics and a Fellow of Trinity College. His research interests are in probability, in particular stochastic interface models, random walk, mixing times for Markov chains, and interacting particle systems.

Professor Andrew Pitts FRS

Professor Andrew Pitts is Emeritus Professor of Theoretical Computer Science in the Department of Computer Science and Technology and an Emeritus Fellow of Darwin College. His research makes use of techniques from category theory, mathematical logic and type theory to advance the foundations of programming language semantics and theorem proving systems. His aim is to develop mathematical models and methods that aid language design and the development of formal logics for specifying and reasoning about programs. He is particularly interested in higher-order typed programming languages and in dependently typed logics.

Dr Marta Zlatic FRS

Dr Marta Zlatic is Programme Leader at the MRC Laboratory of Molecular Biology, and Director of Research in the Department of Zoology. She is also a Fellow of Trinity College. Her research aims to understand the relationship between the structure of the nervous system and its function and to discover the basic principles by which neural circuits implement fundamental computations. A major focus of her research is the circuit implementation of learning and decision-making.

Nine outstanding Cambridge scientists have been elected as Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.

Tom MorrisEntrance to the Royal Society

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution-ShareAlike

“It is with great pleasure that I welcome the latest cohort of outstanding researchers into the Fellowship of the Royal Society,” said Sir Adrian Smith, President of the Royal Society. “Their achievements represent the very best of scientific endeavour, from basic discovery to research with real-world impact across health, technology and policy. From tackling global health challenges to reimagining what AI can do for humanity, their work is a testament to the power of curiosity-driven research and innovation.

“The strength of the Fellowship lies not only in individual excellence, but in the diversity of backgrounds, perspectives and experiences each new member brings. This cohort represents the truly global nature of modern science and the importance of collaboration in driving scientific breakthroughs.”

The Fellows and Foreign Members join the ranks of Stephen Hawking, Isaac Newton, Charles Darwin, Albert Einstein, Lise Meitner, Subrahmanyan Chandrasekhar and Dorothy Hodgkin.

The new Cambridge fellows are:

Professor Edward Bullmore FMedSci FRS

Professor Ed Bullmore is Professor of Psychiatry and former Head of the Department of Psychiatry. His research mainly involves the application of brain imaging to psychiatry. He has introduced an entirely original approach to the analysis of human brain anatomy, involving graph theory and its application to small-world networks. This has had an enormous impact on the field, especially in relation to understanding the biological basis of schizophrenia and depression. His work has been key to the understanding of the 'wiring' of the human brain.

Professor Gábor Csányi FRS

Professor Gábor Csányi is Professor of Molecular Modelling in the Department of Engineering, and a Fellow of Pembroke College. His work is in the field of computational chemistry, and is focused on developing algorithms to predict the properties of materials and molecules from first principles. He pioneered the application of machine learning to molecular modelling which lead to enormous gains in the efficiency of molecular dynamics simulation.

Professor Judith Driscoll FRS

Professor Judith Driscoll is Professor of Materials Science in the Department of Materials Science and Metallurgy, and a Fellow of Trinity College. Her research is concerned with the nanoscale design and tuning of functional oxide thin film materials for energy-efficient electronic applications. A particular focus of her research group is oxide thin films, owing to their wide range of functionalities and their stability. However, their compositions tend to be complex, defects are prevalent, and interface effects play a strong role. Also, for many applications device structural dimensions are required down to nanometre length-scales. Together, all these factors produce exciting challenges for the materials scientist.

Professor Marie Edmonds FRS

Professor Marie Edmonds is Head of Department and Professor of Volcanology and Petrology in the Department of Earth Sciences. She is also a Fellow of Queens’ College. Her research focuses on understanding the impact of volcanoes on our environment and on the habitability of our planet. Her research spans the boundaries between traditional disciplines, from deciphering the nature of the interior of the Earth, to magma transport and storage in the crust, to volcano monitoring, understanding ore deposits and the dynamic chemistry of volcanic gases in the atmosphere and climate.

Professor Julian Hibberd FRS

Professor Julian Hibberd is Head of the Department of Plant Sciences and a Fellow of Emmanuel College. His research focuses on guiding optimisation of photosynthesis to improve crop yields. The C4 pathway is a complex form of photosynthesis that evolved around 30 million years ago and is now used by the most productive plants on the planet. Professor Hibberd has provided key insights into the evolution of C4 photosynthesis through analysis of plant physiology, cell specialisation, organelle development, and the control of gene expression.

Dr Gregory Jefferis FRS

Dr Gregory Jefferis is Joint Head of the Neurobiology Division at the MRC Laboratory of Molecular Biology and Director of Research of the Department of Zoology. The broad goal of his research is to understand how smell turns into behaviour in the fruit fly brain. His group is particularly interested in how odour information is processed by the higher olfactory centres that mediate innate and learned behaviour.

Professor Jason Miller FRS

Professor Jason Miller is a Professor in the Department of Pure Mathematics and Mathematical Statistics and a Fellow of Trinity College. His research interests are in probability, in particular stochastic interface models, random walk, mixing times for Markov chains, and interacting particle systems.

Professor Andrew Pitts FRS

Professor Andrew Pitts is Emeritus Professor of Theoretical Computer Science in the Department of Computer Science and Technology and an Emeritus Fellow of Darwin College. His research makes use of techniques from category theory, mathematical logic and type theory to advance the foundations of programming language semantics and theorem proving systems. His aim is to develop mathematical models and methods that aid language design and the development of formal logics for specifying and reasoning about programs. He is particularly interested in higher-order typed programming languages and in dependently typed logics.

Dr Marta Zlatic FRS

Dr Marta Zlatic is Programme Leader at the MRC Laboratory of Molecular Biology, and Director of Research in the Department of Zoology. She is also a Fellow of Trinity College. Her research aims to understand the relationship between the structure of the nervous system and its function and to discover the basic principles by which neural circuits implement fundamental computations. A major focus of her research is the circuit implementation of learning and decision-making.

Nine outstanding Cambridge scientists have been elected as Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.

Tom MorrisEntrance to the Royal Society

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

YesLicence type: Attribution-ShareAlike

What is a memory?

Is it a distinct pattern of brain activity, a blueprint for future behaviour, or a skill that we can improve with a little training? Probably all these things and more, argues Jon Simons, Professor of Cognitive Neuroscience in the Department of Psychology and Head of the School of the Biological Sciences.

Jon’s Memory Lab studies all aspects of memory. They invite volunteers to complete memory tasks online, in the laboratory, or sometimes while lying in an MRI machine while the team scans their brains. 

If memory serves

The biochemical changes that represent memories range across the brain’s real estate. A long list of factors determine which brain areas light up during the experience: whether a memory is being encoded or reconstructed, whether it's an old or a new pattern, and what kind of information it deals with.

“We know that the hippocampus is crucial for forming new memories, but it’s not necessarily the permanent storage site," Jon says. "For long-term storage, we also recruit cortical areas – the frontal lobes, temporal lobes, parietal lobes and more.”

To plot a route through tangled terrain, researchers divide memory into different types. Short-term memory lasts a minute at most and has a limited capacity – around 7 items give-or-take, according to Harvard’s George Miller in the 1950s. Think of repeating numbers to yourself while jotting down someone’s phone number. If we don’t record those numbers fast enough, they’ll fade quickly. 

But even short-term memory isn’t unitary. Alan Baddeley (Churchill 1959), former director of Cambridge’s Medical Research Council (MRC) Applied Psychology Unit (now called the MRC Cognition and Brain Sciences Unit), coined a new way of understanding how short-term memories are stored and manipulated. His 'working memory' model proposes that separate brain systems deal with different kinds of inputs. One part rehearses and replays sounds, for instance, while another holds visual information like a ‘mental canvas’. 

the_working_memory_model.svg_.png

This is different yet again from our long-term memories. These deeper experiences can stay with us for a lifetime. Recalling them can be thought of as a kind of ‘mental time-travel’, allowing us to subjectively relive past events complete with the sights, smells and sounds of cherished scenes.

Researchers now believe that we reconstruct our memories each time we experience them. From scant traces, we extrapolate the narrative of what happened. In this way, memory is a creative act, not a simple recap. One classic Cambridge study revealed how our memories are morphed by bias, beliefs, feelings and expectations.
 

Cambridge’s long memory

Enter the elegant study of Sir Frederic Bartlett, Cambridge’s first Psychology professor. 

Bartlett’s book ‘Remembering’ (1932) made use of a now famous story: the war of the ghosts. 

In this Native American folk tale, a man meets warriors paddling their canoes downriver, who invite him to join a war party. He later realises the men are ghosts, waging war on the living. 

Bartlett taught his Edwardian undergraduates this tale, then asked them to retell it in their own words. Over several retellings, his students altered key elements of the story so that it sounded more like the world they knew. ‘Canoes’ became ‘boats’, while mentions of ‘spirits’ were dropped altogether.

canoe.jpg

Bartlett's study showed the effects of culture on recall, and how the changes we make to our memories aren’t random. Even if we’re not conscious of doing so, we prefer to change story elements so that they align with our expectations, biases and cultural norms.

This feature of memory has massive implications for how we remember the past. Eye-witness testimony will be prey to the same biases. Unintentional errors, made in favour of what is familiar to us, are very difficult to avoid.

Another titan of memory research was an undergraduate while Bartlett was teaching. During World War II, Brenda Milner (Newnham 1936) helped the Psychology department repurpose itself for the war effort. After this, Milner moved to Canada to analyse patient Henry Molaison (formerly known as H M). Molaison would become one of the most famous patients in all of psychology. 

Molaison had profound amnesia. This was due to experimental surgery, where doctors removed his hippocampus to try and improve his epilepsy. Milner meticulously documented how Molaison’s memory functioned after surgery. She showed how he was unable to form new memories or remember events from the years leading up to his surgery, but that his memories from earlier in life remained intact. This work transformed our understanding of the hippocampus’ role in memory.

Psychologists like Milner and Bartlett showed us the primacy of the hippocampus and highlighted the creative nature of memory. Modern Cambridge researchers can take our investigations even further.
 

Peak performance

With all we now know about memory, can we understand what makes for better performance?

Together with Professor Simon Baron-Cohen and his team at the Autism Research Centre, Jon is currently studying thousands of the UK’s best memorisers to find the keys to their prowess. Volunteers completed a battery of memory tests online – the best performers then came for brain scans and further testing in the lab.

Their early results suggest some interesting traits, as well as the strategies people use to enhance their abilities. 

“There's a psychological trait called ‘systemising’,” says Jon. “It's found in people who have a drive to analyse and construct rule-based ways of thinking. Those kinds of people seem to be more likely to have exceptional memories.”

Simon Baron-Cohen was the first to define this trait. He did so in relation to people on the autism spectrum, for whom ‘systemising’ is set very high. 

So if you happen to think like a ‘systemiser’, you may have a better memory. If you don’t, there are also concrete strategies to boost your memory capacities.

“Mnemonics are an evidence-based technique that can improve our memories,” Jon explains. “They often involve thinking spatially. Start by visualising somewhere you know well, then mentally ‘place’ important information in that map. You can then 'travel through' that map when recalling.”

Think Sherlock’s ‘mind palace’ from the BBC adaptation of Arthur Conan Doyle’s books. Jon points out that pre-BBC, this strategy was familiar to ancient Greek and Roman orators. They called it the method of loci, using it as a way to remember extremely long speeches. It can also be helpful for everyday tasks, like remembering a shopping list.

gettyimages-1270935214.jpg

Jon’s tip for this method is to make the memory triggers striking. Associate the eggs on your shopping list with a fire-breathing dragon guarding its young, for example, and the sensory impression might be distinct enough to stand out from the background noise. 

“The more bizarre the better! Our memories have a big job in trying to differentiate one memory from another. We can help it out by making key information more distinctive. This helps our brains to distinguish memories from one another, and stop irrelevant ones from overlapping or interfering.”

Indeed, one of the functions of the hippocampus is to perform pattern separation – trying to make our memories distinct. If memories are too similar, we find it harder to recall specific experiences. 

This might go some way to explaining the ‘brain fog’ many experienced during COVID-19 lockdowns. With days inside tending to repeat familiar routines, we had less distinct and varied experiences. Our brains were less able to create rich, meaningful memories. Looking back on 2020 and 2021, people find it hard to separate what happened when.

There’s a lesson for non-lockdown living here too. If we want a rich life that feels like it lasts longer and is full of accessible, interesting memories, we should prioritise variety in our experience.

To further improve memory function, we should strive to decrease stress, fear and anxiety (where possible). These emotional states increase our cognitive load and reduce our memory abilities.

“When anxious thoughts flood our minds, they compete for space in our working memory and impair our ability to recall long-term memories. They pull attention and resources away from the things we’d like to focus on. If we can find ways to reduce stress and anxiety, our memory can often bounce back.”

While this might be easier said than done, science has concrete recommendations for reducing stress and anxiety. Done consistently, a healthy diet, regular exercise and a good sleep schedule, as well as techniques like mindfulness practice, can have transformative effects. 

Researchers like Jon are deepening our understanding of what memories are. The Memory Lab follows an illustrious line of Cambridge psychologists who identified key pieces of memory’s endless puzzle. Wherever the next steps lead, they will affirm a wonder of nature: the intricate patterns our mind weaves to make sense of the world outside.

For a handy guide to building mental resilience, check out Brain Boost by Dr Barbara Sahakian and Dr Christelle Langley. To focus on fighting anxiety with scientific techniques, try Dr Olivia Remes.

To find out how you can participate in Memory Lab studies, get in touch.

By tying together more than a century of memory research at Cambridge, the Memory Lab gives us tangible ways to improve, preserve and understand our memory.

When anxious thoughts flood our minds, they compete for space in our working memory and impair our ability to recall long-term memories. If we can find ways to reduce stress and anxiety, our memory can often bounce back.Jon SimonsSusana CamachoJon Simons, by Susana Camacho

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

What is a memory?

Is it a distinct pattern of brain activity, a blueprint for future behaviour, or a skill that we can improve with a little training? Probably all these things and more, argues Jon Simons, Professor of Cognitive Neuroscience in the Department of Psychology and Head of the School of the Biological Sciences.

Jon’s Memory Lab studies all aspects of memory. They invite volunteers to complete memory tasks online, in the laboratory, or sometimes while lying in an MRI machine while the team scans their brains. 

If memory serves

The biochemical changes that represent memories range across the brain’s real estate. A long list of factors determine which brain areas light up during the experience: whether a memory is being encoded or reconstructed, whether it's an old or a new pattern, and what kind of information it deals with.

“We know that the hippocampus is crucial for forming new memories, but it’s not necessarily the permanent storage site," Jon says. "For long-term storage, we also recruit cortical areas – the frontal lobes, temporal lobes, parietal lobes and more.”

To plot a route through tangled terrain, researchers divide memory into different types. Short-term memory lasts a minute at most and has a limited capacity – around 7 items give-or-take, according to Harvard’s George Miller in the 1950s. Think of repeating numbers to yourself while jotting down someone’s phone number. If we don’t record those numbers fast enough, they’ll fade quickly. 

But even short-term memory isn’t unitary. Alan Baddeley (Churchill 1959), former director of Cambridge’s Medical Research Council (MRC) Applied Psychology Unit (now called the MRC Cognition and Brain Sciences Unit), coined a new way of understanding how short-term memories are stored and manipulated. His 'working memory' model proposes that separate brain systems deal with different kinds of inputs. One part rehearses and replays sounds, for instance, while another holds visual information like a ‘mental canvas’. 

the_working_memory_model.svg_.png

This is different yet again from our long-term memories. These deeper experiences can stay with us for a lifetime. Recalling them can be thought of as a kind of ‘mental time-travel’, allowing us to subjectively relive past events complete with the sights, smells and sounds of cherished scenes.

Researchers now believe that we reconstruct our memories each time we experience them. From scant traces, we extrapolate the narrative of what happened. In this way, memory is a creative act, not a simple recap. One classic Cambridge study revealed how our memories are morphed by bias, beliefs, feelings and expectations.
 

Cambridge’s long memory

Enter the elegant study of Sir Frederic Bartlett, Cambridge’s first Psychology professor. 

Bartlett’s book ‘Remembering’ (1932) made use of a now famous story: the war of the ghosts. 

In this Native American folk tale, a man meets warriors paddling their canoes downriver, who invite him to join a war party. He later realises the men are ghosts, waging war on the living. 

Bartlett taught his Edwardian undergraduates this tale, then asked them to retell it in their own words. Over several retellings, his students altered key elements of the story so that it sounded more like the world they knew. ‘Canoes’ became ‘boats’, while mentions of ‘spirits’ were dropped altogether.

canoe.jpg

Bartlett's study showed the effects of culture on recall, and how the changes we make to our memories aren’t random. Even if we’re not conscious of doing so, we prefer to change story elements so that they align with our expectations, biases and cultural norms.

This feature of memory has massive implications for how we remember the past. Eye-witness testimony will be prey to the same biases. Unintentional errors, made in favour of what is familiar to us, are very difficult to avoid.

Another titan of memory research was an undergraduate while Bartlett was teaching. During World War II, Brenda Milner (Newnham 1936) helped the Psychology department repurpose itself for the war effort. After this, Milner moved to Canada to analyse patient Henry Molaison (formerly known as H M). Molaison would become one of the most famous patients in all of psychology. 

Molaison had profound amnesia. This was due to experimental surgery, where doctors removed his hippocampus to try and improve his epilepsy. Milner meticulously documented how Molaison’s memory functioned after surgery. She showed how he was unable to form new memories or remember events from the years leading up to his surgery, but that his memories from earlier in life remained intact. This work transformed our understanding of the hippocampus’ role in memory.

Psychologists like Milner and Bartlett showed us the primacy of the hippocampus and highlighted the creative nature of memory. Modern Cambridge researchers can take our investigations even further.
 

Peak performance

With all we now know about memory, can we understand what makes for better performance?

Together with Professor Simon Baron-Cohen and his team at the Autism Research Centre, Jon is currently studying thousands of the UK’s best memorisers to find the keys to their prowess. Volunteers completed a battery of memory tests online – the best performers then came for brain scans and further testing in the lab.

Their early results suggest some interesting traits, as well as the strategies people use to enhance their abilities. 

“There's a psychological trait called ‘systemising’,” says Jon. “It's found in people who have a drive to analyse and construct rule-based ways of thinking. Those kinds of people seem to be more likely to have exceptional memories.”

Simon Baron-Cohen was the first to define this trait. He did so in relation to people on the autism spectrum, for whom ‘systemising’ is set very high. 

So if you happen to think like a ‘systemiser’, you may have a better memory. If you don’t, there are also concrete strategies to boost your memory capacities.

“Mnemonics are an evidence-based technique that can improve our memories,” Jon explains. “They often involve thinking spatially. Start by visualising somewhere you know well, then mentally ‘place’ important information in that map. You can then 'travel through' that map when recalling.”

Think Sherlock’s ‘mind palace’ from the BBC adaptation of Arthur Conan Doyle’s books. Jon points out that pre-BBC, this strategy was familiar to ancient Greek and Roman orators. They called it the method of loci, using it as a way to remember extremely long speeches. It can also be helpful for everyday tasks, like remembering a shopping list.

gettyimages-1270935214.jpg

Jon’s tip for this method is to make the memory triggers striking. Associate the eggs on your shopping list with a fire-breathing dragon guarding its young, for example, and the sensory impression might be distinct enough to stand out from the background noise. 

“The more bizarre the better! Our memories have a big job in trying to differentiate one memory from another. We can help it out by making key information more distinctive. This helps our brains to distinguish memories from one another, and stop irrelevant ones from overlapping or interfering.”

Indeed, one of the functions of the hippocampus is to perform pattern separation – trying to make our memories distinct. If memories are too similar, we find it harder to recall specific experiences. 

This might go some way to explaining the ‘brain fog’ many experienced during COVID-19 lockdowns. With days inside tending to repeat familiar routines, we had less distinct and varied experiences. Our brains were less able to create rich, meaningful memories. Looking back on 2020 and 2021, people find it hard to separate what happened when.

There’s a lesson for non-lockdown living here too. If we want a rich life that feels like it lasts longer and is full of accessible, interesting memories, we should prioritise variety in our experience.

To further improve memory function, we should strive to decrease stress, fear and anxiety (where possible). These emotional states increase our cognitive load and reduce our memory abilities.

“When anxious thoughts flood our minds, they compete for space in our working memory and impair our ability to recall long-term memories. They pull attention and resources away from the things we’d like to focus on. If we can find ways to reduce stress and anxiety, our memory can often bounce back.”

While this might be easier said than done, science has concrete recommendations for reducing stress and anxiety. Done consistently, a healthy diet, regular exercise and a good sleep schedule, as well as techniques like mindfulness practice, can have transformative effects. 

Researchers like Jon are deepening our understanding of what memories are. The Memory Lab follows an illustrious line of Cambridge psychologists who identified key pieces of memory’s endless puzzle. Wherever the next steps lead, they will affirm a wonder of nature: the intricate patterns our mind weaves to make sense of the world outside.

For a handy guide to building mental resilience, check out Brain Boost by Dr Barbara Sahakian and Dr Christelle Langley. To focus on fighting anxiety with scientific techniques, try Dr Olivia Remes.

To find out how you can participate in Memory Lab studies, get in touch.

By tying together more than a century of memory research at Cambridge, the Memory Lab gives us tangible ways to improve, preserve and understand our memory.

When anxious thoughts flood our minds, they compete for space in our working memory and impair our ability to recall long-term memories. If we can find ways to reduce stress and anxiety, our memory can often bounce back.Jon SimonsSusana CamachoJon Simons, by Susana Camacho

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes