Autistic perspectives sought for new study on comics and inclusion
The study will lead to new guidance encouraging both the comics industry and enthusiasts to make comics communities better places for neurodivergent fans and artists. It is being led by academics at the University’s Faculty of Education and will begin this month with an open, online survey aimed at autistic comics fans.
Research by the Comics Cultural Impact Collective (CCIC) – which will also be part of the collaboration – indicates that hundreds of young people self-identifying as neurodivergent are involved in Britain’s comics community, either as fans or creators.
The CCIC also suggests, however, that neurodivergent enthusiasts often find spaces like fan conventions, comic book stores, online communities and the comics industry less than welcoming, and frequently feel ‘siloed’. How to address that – and what it is about comics that attracts so many autistic people in the first place – have never been fully explored.
The online survey will begin to answer these questions by collecting information from autistic comics fans and creators. Professor Jenny Gibson, an expert in neurodiversity and autism and one of the project’s academic leads, described it as “kick-starting a wider conversation about comics and autism”.
“Comics seem to have massive appeal for a surprising number of autistic people, and many of them are not just fans but enormously talented cartoonists, artists and illustrators,” Gibson said.
“This is something the comics community is increasingly aware of, and there is a lot of enthusiasm for becoming better allies for autistic people. What we lack is information about how we can best do that, partly because we don’t know enough about the perspectives and experiences of autistic comics enthusiasts.”
The project is called “The Collaboration for Comics and Autism”. As well as the CCIC, Gibson and co-lead Dr Joe Sutliff Sanders will be working with the Lakes International Comic Art Festival, Dekko Comics (a specialist publisher supporting neurodivergent learners), the Association of Illustrators, the Quentin Blake Centre for Illustration and autistic cartoonists Bex Ollerton and Eliza Fricker.
Beyond this, they want to involve as many autistic artists and fans as possible by gathering their experiences of engaging with comics culture and of the opportunities and barriers they have encountered.
Various explanations have been proposed for why comics seem to have such appeal for autistic people. Dekko Comics argues on its website that many autistic young people, who may often find verbal communication challenging, respond positively to the clear and accessible sensory material in comics, which may be an important bridge between their inner and outer worlds. Research by Dr Neil Cohn suggests that over 90% of children with autism spectrum disorder and language disorders enjoy comics, compared with about 60% of neurotypical children.
Comics and art also provide many autistic people with a valuable outlet for self-expression. The Cambridge project, for example, originated from a workshop at the People’s History Museum in Manchester for autistic comics artists, which Gibson and Sanders co-led with the editor of Sensory: Life on the Spectrum, an anthology by dozens of autistic creators.
Sanders, a leading comics scholar, also highlights the richly detailed imaginative world of comics in which fans immerse themselves, often becoming aficionados in the process. This may mean comics are particularly well suited to helping autistic people satisfy psychological needs that we all share, such as the need for a sense of belonging, competence, and having control over our own lives.
“Comics have the power to spark a particular kind of obsession and passion among fans,” Sanders said. “They enable a sort of flow state; that pure joy that comes from losing yourself in something that you find interesting and engaging. They are almost ready-made for accumulating knowledge and sharing it with like-minded people who will really value what you have to say.”
“The problem is that, like so many other parts of society, fan conventions and communities – and the comics industry as a whole – can sometimes inadvertently brush aside neurodivergent people. We need to understand what we can do differently in order to make this world as inclusive and accessible as possible.”
The results of the online survey will provide the basis for a series of workshops in Cambridge later this year, during which artists, fans and people involved in the industry will begin to develop a best-practice guide for autistic inclusion.
Gibson and Sanders plan to launch it at the Lakes International Festival in September. The guide will also be distributed to a wider network including fan groups, publishers, galleries and professional bodies. It will be released as a comic book, and its impact will be tested through a follow-up survey so that it can be refined as necessary in future editions.
“Too often the question of how to support autistic people is addressed from a deficit perspective, as if the problem is that they lack neurotypical skills,” Gibson said. “This project will flip that perspective. By learning more about how autistic fans connect with comics, we will begin to understand what we can do differently to make the most of their knowledge, talents and enthusiasm.”
The initial survey for The Collaboration for Comics and Autism can be accessed here.
Autistic people in the UK are being invited to participate in a University of Cambridge-led project exploring the uniquely powerful connection between autism and comics.
Too often the question of how to support autistic people is addressed from a deficit perspectiveProf Jenny GibsonClare Mackenzie
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.
£10 million programme to use AI and state-of-the-art analytics to fight cancer
The Cancer Data-Driven Detection programme will be led by Antonis Antoniou, Professor of Cancer Risk Prediction at the University of Cambridge. It is funded by Cancer Research UK, the National Institute for Health and Care Research, and the Engineering and Physical Sciences Research Council.
The programme aims to access and link data from different sources - including health records, genomics, family history, demographics, and behavioural data - to develop statistical models that help scientists accurately predict who is most likely to get cancer. Alongside this, the programme will develop powerful new tools that use AI to analyse the data and calculate an individual’s risk of cancer throughout their lifetime.
Professor Antoniou said: “Finding people at the highest risk of developing cancer, including those with vague symptoms, is a major challenge. The UK’s strengths in population-scale data resources, combined with advanced analytical tools like AI, offer tremendous opportunities to link disparate datasets and uncover clues that could lead to earlier detection, diagnosis, and prevention of more cancers.”
Over the next five years, the funding will build the infrastructure required to access and link these datasets, train new data scientists, create the algorithms behind the risk models and evaluate the algorithms and AI tools to ensure that they are giving accurate and clinically useful information about cancer risk. The scientific programme will be guided by partnerships with cancer patients, the public, clinical experts and industry, while addressing ethical and legal considerations to ensure that the models and tools work well in practice.
Professor Antoniou added: “Ultimately, [the Cancer Data Driven Detection programme] could inform public health policy and empower individuals and their healthcare providers to make shared decisions. By understanding individual cancer risks, people can take proactive steps to stop cancer before it gets worse or even begins in the first place.”
The models generated from this research could be used to help people at higher risk of cancer in different ways. For example, the NHS could offer more frequent cancer screening sessions or screening at a younger age to those at higher risk, whilst those at lower risk could be spared unnecessary tests. People identified as higher risk could also be sent for cancer testing faster when they go to their GP with possible cancer signs or symptoms. Individuals at higher risk could also access different ways to prevent cancer.
Earlier diagnosis of cancer saves lives, yet according to analysis of NHS figures by Cancer Research UK, only 54% of cancers in England are diagnosed at stages one and two, where treatment is more likely to be successful. NHS England has set a target to diagnose 75% of cancers at stages one and two by 2028, and this will only be achieved with research and embracing new technologies to catch cancer earlier.
Last week, the Prime Minister announced backing for the power of big data and AI, which has the potential to help even more patients, including those with cancer.
Science Minister Lord Vallance said: “There are huge opportunities in AI to improve UK healthcare, from scans detecting illnesses earlier to bringing NHS waiting lists down by planning appointments more efficiently, and these will continue to develop.
“This investment in harnessing the potential of data to spot those at risk of cancer represents the sort of innovation the Government’s new AI Opportunities Action Plan sets out to realise, so this technology improves lives, while transforming public services and boosting growth.”
Minister for Public Health and Prevention, Andrew Gwynne said: “Using the latest technology could revolutionise how the NHS diagnoses and treats patients. As part of this government’s Plan for Change, we will transform our health service from analogue to digital, and innovative projects like this show exactly how we will achieve it.”
The Cancer Data Driven Detection programme is jointly supported by Cancer Research UK, the National Institute for Health & Care Research, the Engineering & Physical Sciences Research Council, Health Data Research UK, and Administrative Data Research UK.
Head of Prevention and Early Detection Research at Cancer Research UK, Dr David Crosby, said: “The single most important thing we can do to beat cancer is to find it earlier, when treatment is more likely to be successful. With half a million cancer cases per year expected in the UK by 2040, we need a major shift towards more accurate diagnosis and detection of early cancer.”
Find out how Cambridge is Changing the Story of CancerAdapted from a press release from Cancer Research UK
Cambridge researchers are to lead a £10million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.
The UK’s strengths in population-scale data resources, combined with advanced analytical tools like AI, offer tremendous opportunities to link disparate datasets and uncover clues that could lead to earlier detection, diagnosis, and prevention of more cancersAntonis AntoniouBrianPenny (Pixabay)Image representing AI and Big Data
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.
£10 million programme to use AI and state-of-the-art analytics to fight cancer
The Cancer Data-Driven Detection programme will be led by Antonis Antoniou, Professor of Cancer Risk Prediction at the University of Cambridge. It is funded by Cancer Research UK, the National Institute for Health and Care Research, and the Engineering and Physical Sciences Research Council.
The programme aims to access and link data from different sources - including health records, genomics, family history, demographics, and behavioural data - to develop statistical models that help scientists accurately predict who is most likely to get cancer. Alongside this, the programme will develop powerful new tools that use AI to analyse the data and calculate an individual’s risk of cancer throughout their lifetime.
Professor Antoniou said: “Finding people at the highest risk of developing cancer, including those with vague symptoms, is a major challenge. The UK’s strengths in population-scale data resources, combined with advanced analytical tools like AI, offer tremendous opportunities to link disparate datasets and uncover clues that could lead to earlier detection, diagnosis, and prevention of more cancers.”
Over the next five years, the funding will build the infrastructure required to access and link these datasets, train new data scientists, create the algorithms behind the risk models and evaluate the algorithms and AI tools to ensure that they are giving accurate and clinically useful information about cancer risk. The scientific programme will be guided by partnerships with cancer patients, the public, clinical experts and industry, while addressing ethical and legal considerations to ensure that the models and tools work well in practice.
Professor Antoniou added: “Ultimately, [the Cancer Data Driven Detection programme] could inform public health policy and empower individuals and their healthcare providers to make shared decisions. By understanding individual cancer risks, people can take proactive steps to stop cancer before it gets worse or even begins in the first place.”
The models generated from this research could be used to help people at higher risk of cancer in different ways. For example, the NHS could offer more frequent cancer screening sessions or screening at a younger age to those at higher risk, whilst those at lower risk could be spared unnecessary tests. People identified as higher risk could also be sent for cancer testing faster when they go to their GP with possible cancer signs or symptoms. Individuals at higher risk could also access different ways to prevent cancer.
Earlier diagnosis of cancer saves lives, yet according to analysis of NHS figures by Cancer Research UK, only 54% of cancers in England are diagnosed at stages one and two, where treatment is more likely to be successful. NHS England has set a target to diagnose 75% of cancers at stages one and two by 2028, and this will only be achieved with research and embracing new technologies to catch cancer earlier.
Last week, the Prime Minister announced backing for the power of big data and AI, which has the potential to help even more patients, including those with cancer.
Science Minister Lord Vallance said: “There are huge opportunities in AI to improve UK healthcare, from scans detecting illnesses earlier to bringing NHS waiting lists down by planning appointments more efficiently, and these will continue to develop.
“This investment in harnessing the potential of data to spot those at risk of cancer represents the sort of innovation the Government’s new AI Opportunities Action Plan sets out to realise, so this technology improves lives, while transforming public services and boosting growth.”
Minister for Public Health and Prevention, Andrew Gwynne said: “Using the latest technology could revolutionise how the NHS diagnoses and treats patients. As part of this government’s Plan for Change, we will transform our health service from analogue to digital, and innovative projects like this show exactly how we will achieve it.”
The Cancer Data Driven Detection programme is jointly supported by Cancer Research UK, the National Institute for Health & Care Research, the Engineering & Physical Sciences Research Council, Health Data Research UK, and Administrative Data Research UK.
Head of Prevention and Early Detection Research at Cancer Research UK, Dr David Crosby, said: “The single most important thing we can do to beat cancer is to find it earlier, when treatment is more likely to be successful. With half a million cancer cases per year expected in the UK by 2040, we need a major shift towards more accurate diagnosis and detection of early cancer.”
Find out how Cambridge is Changing the Story of CancerAdapted from a press release from Cancer Research UK
Cambridge researchers are to lead a £10million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.
The UK’s strengths in population-scale data resources, combined with advanced analytical tools like AI, offer tremendous opportunities to link disparate datasets and uncover clues that could lead to earlier detection, diagnosis, and prevention of more cancersAntonis AntoniouBrianPenny (Pixabay)Image representing AI and Big Data
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.
Antibiotics, vaccinations and anti-inflammatory medication linked to reduced risk of dementia
The study, led by researchers from the universities of Cambridge and Exeter, identified several drugs already licensed and in use that have the potential to be repurposed to treat dementia.
Dementia is a leading cause of death in the UK and can lead to profound distress in the individual and among those caring for them. It has been estimated to have a worldwide economic cost in excess of US$1 trillion dollars.
Despite intensive efforts, progress in identifying drugs that can slow or even prevent dementia has been disappointing. Until recently, dementia drugs were effective only for symptoms and have a modest effect. Recently, lecanemab and donanemab have been shown to reduce the build-up in the brain of amyloid plaques – a key characteristic of Alzheimer’s disease – and to slow down progression of the disease, but the National Institute for Health and Care Excellence (NICE) concluded that the benefits were insufficient to justify approval for use within the NHS.
Scientists are increasingly turning to existing drugs to see if they may be repurposed to treat dementia. As the safety profile of these drugs is already known, the move to clinical trials can be accelerated significantly.
Dr Ben Underwood, from the Department of Psychiatry at the University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, said: “We urgently need new treatments to slow the progress of dementia, if not to prevent it. If we can find drugs that are already licensed for other conditions, then we can get them into trials and – crucially – may be able to make them available to patients much, much faster than we could do for an entirely new drug. The fact they are already available is likely to reduce cost and therefore make them more likely to be approved for use in the NHS.”
In a study published today in Alzheimer’s and Dementia: Translational Research & Clinical Interventions, Dr Underwood, together with Dr Ilianna Lourida from the University of Exeter, led a systematic review of existing scientific literature to look for evidence of prescription drugs that altered the risk of dementia. Systematic reviews allow researchers to pool several studies where evidence may be weak, or even contradictory, to arrive at more robust conclusions.
In total, the team examined 14 studies that used large clinical datasets and medical records, capturing data from more than 130 million individuals and 1 million dementia cases. Although they found a lack of consistency between studies in identifying individual drugs that affect the risk of dementia, they identified several drug classes associated with altered risk.
One unexpected finding was an association between antibiotics, antivirals and vaccines, and a reduced risk of dementia. This finding supports the hypothesis that common dementias may be triggered by viral or bacterial infections, and supports recent interest in vaccines, such as the BCG vaccine for tuberculosis, and decreased risk of dementia.
Anti-inflammatory drugs such as ibuprofen were also found to be associated with reduced risk. Inflammation is increasingly being seen to be a significant contributor to a wide range of diseases, and its role in dementia is supported by the fact that some genes that increase the risk of dementia are part of inflammatory pathways.
The team found conflicting evidence for several classes of drugs, with some blood pressure medications and anti-depressants and, to a lesser extent, diabetes medication associated with a decreased risk of dementia and others associated with increased risk.
Dr Ilianna Lourida from the National Institute for Health and Care Research Applied Research Collaboration South West Peninsula (PenARC), University of Exeter, said: “Because a particular drug is associated with an altered risk of dementia, it doesn’t necessarily mean that it causes or indeed helps in dementia. We know that diabetes increases your risk of dementia, for example, so anyone on medication to manage their glucose levels would naturally also be at a higher risk of dementia – but that doesn’t mean the drug increases your risk.
“It’s important to remember that all drugs have benefits and risks. You should never change your medicine without discussing this first with your doctor, and you should speak to them if you have any concerns.”
The conflicting evidence may also reflect differences in how particular studies were conducted and how data was collected, as well as the fact that different medications even within the same class often target different biological mechanisms.
The UK government is supporting the development of an Alzheimer’s trial platform to evaluate drugs rapidly and efficiently, including repurposed drugs currently used for other conditions.
“Pooling these massive health data sets provides one source of evidence which we can use to help us focus on which drugs we should try first,” said Dr Underwood. “We’re hopeful this will mean we can find some much-needed new treatments for dementia and speed up the process of getting them to patients.”
Reference
Underwood, BU & Lourida, I et al. Data-driven discovery of associations between prescribed drugs and dementia risk: A systematic review. Alz & Dem; 21 Jan 2025; DOI: 10.1002/trc2.70037
Antibiotics, antivirals, vaccinations and anti-inflammatory medication are associated with reduced risk of dementia, according to new research that looked at health data from over 130 million individuals.
We urgently need new treatments to slow the progress of dementia, if not to prevent it. If we can find drugs that are already licensed for other conditions, then we can get them into trials much faster than we could do for an entirely new drugBen UnderwoodAndrzej Rostek (Getty Images)Elderly Woman's Hands and Orange Pills
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.
Antibiotics, vaccinations and anti-inflammatory medication linked to reduced risk of dementia
The study, led by researchers from the universities of Cambridge and Exeter, identified several drugs already licensed and in use that have the potential to be repurposed to treat dementia.
Dementia is a leading cause of death in the UK and can lead to profound distress in the individual and among those caring for them. It has been estimated to have a worldwide economic cost in excess of US$1 trillion dollars.
Despite intensive efforts, progress in identifying drugs that can slow or even prevent dementia has been disappointing. Until recently, dementia drugs were effective only for symptoms and have a modest effect. Recently, lecanemab and donanemab have been shown to reduce the build-up in the brain of amyloid plaques – a key characteristic of Alzheimer’s disease – and to slow down progression of the disease, but the National Institute for Health and Care Excellence (NICE) concluded that the benefits were insufficient to justify approval for use within the NHS.
Scientists are increasingly turning to existing drugs to see if they may be repurposed to treat dementia. As the safety profile of these drugs is already known, the move to clinical trials can be accelerated significantly.
Dr Ben Underwood, from the Department of Psychiatry at the University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, said: “We urgently need new treatments to slow the progress of dementia, if not to prevent it. If we can find drugs that are already licensed for other conditions, then we can get them into trials and – crucially – may be able to make them available to patients much, much faster than we could do for an entirely new drug. The fact they are already available is likely to reduce cost and therefore make them more likely to be approved for use in the NHS.”
In a study published today in Alzheimer’s and Dementia: Translational Research & Clinical Interventions, Dr Underwood, together with Dr Ilianna Lourida from the University of Exeter, led a systematic review of existing scientific literature to look for evidence of prescription drugs that altered the risk of dementia. Systematic reviews allow researchers to pool several studies where evidence may be weak, or even contradictory, to arrive at more robust conclusions.
In total, the team examined 14 studies that used large clinical datasets and medical records, capturing data from more than 130 million individuals and 1 million dementia cases. Although they found a lack of consistency between studies in identifying individual drugs that affect the risk of dementia, they identified several drug classes associated with altered risk.
One unexpected finding was an association between antibiotics, antivirals and vaccines, and a reduced risk of dementia. This finding supports the hypothesis that common dementias may be triggered by viral or bacterial infections, and supports recent interest in vaccines, such as the BCG vaccine for tuberculosis, and decreased risk of dementia.
Anti-inflammatory drugs such as ibuprofen were also found to be associated with reduced risk. Inflammation is increasingly being seen to be a significant contributor to a wide range of diseases, and its role in dementia is supported by the fact that some genes that increase the risk of dementia are part of inflammatory pathways.
The team found conflicting evidence for several classes of drugs, with some blood pressure medications and anti-depressants and, to a lesser extent, diabetes medication associated with a decreased risk of dementia and others associated with increased risk.
Dr Ilianna Lourida from the National Institute for Health and Care Research Applied Research Collaboration South West Peninsula (PenARC), University of Exeter, said: “Because a particular drug is associated with an altered risk of dementia, it doesn’t necessarily mean that it causes or indeed helps in dementia. We know that diabetes increases your risk of dementia, for example, so anyone on medication to manage their glucose levels would naturally also be at a higher risk of dementia – but that doesn’t mean the drug increases your risk.
“It’s important to remember that all drugs have benefits and risks. You should never change your medicine without discussing this first with your doctor, and you should speak to them if you have any concerns.”
The conflicting evidence may also reflect differences in how particular studies were conducted and how data was collected, as well as the fact that different medications even within the same class often target different biological mechanisms.
The UK government is supporting the development of an Alzheimer’s trial platform to evaluate drugs rapidly and efficiently, including repurposed drugs currently used for other conditions.
“Pooling these massive health data sets provides one source of evidence which we can use to help us focus on which drugs we should try first,” said Dr Underwood. “We’re hopeful this will mean we can find some much-needed new treatments for dementia and speed up the process of getting them to patients.”
Reference
Underwood, BU & Lourida, I et al. Data-driven discovery of associations between prescribed drugs and dementia risk: A systematic review. Alz & Dem; 21 Jan 2025; DOI: 10.1002/trc2.70037
Antibiotics, antivirals, vaccinations and anti-inflammatory medication are associated with reduced risk of dementia, according to new research that looked at health data from over 130 million individuals.
We urgently need new treatments to slow the progress of dementia, if not to prevent it. If we can find drugs that are already licensed for other conditions, then we can get them into trials much faster than we could do for an entirely new drugBen UnderwoodAndrzej Rostek (Getty Images)Elderly Woman's Hands and Orange Pills
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.
Cambridge Cancer Research Hospital given green light by government
Cambridge Cancer Research Hospital (CCRH) will transform how we diagnose and treat cancer. It will bring together world-leading research and clinical excellence to change the lives of cancer patients across the East of England, the UK and beyond.
The Hospital was part of the government’s review of its New Hospitals Programme. In naming the project as one of the Cohort 2 schemes that already has advanced plans and made significant progress on its full business case, the government confirmed that preparations can go ahead for construction to start in 2026. It remains on track to be built by 2029.
Cambridge Cancer Research Hospital, a partnership between Cambridge University Hospitals and the University of Cambridge, will combine NHS clinical space with three new state-of-the-art research institutes that will support the ambitions set out in the government's new NHS ten-year plan.
Bringing together world-class NHS clinicians with cutting-edge University and industry-led research, the hospital will accelerate the early detection of cancer and prevention of illness, and lead the way in delivering bespoke, precision treatments that will radically improve patient outcomes.
Professor Deborah Prentice, Vice-Chancellor of the University of Cambridge, said: “This is excellent news for the future of Cambridge Cancer Research Hospital, which promises to have a huge impact on how we diagnose and treat cancer, not only in our region, but globally.
“Our teams are also working hard to secure much-needed philanthropic support to complement the funding committed by the NHS and the University. Generous donations will help realise our vision for this revolutionary, and much-needed, research hospital.”
Find out more about the hospital that will change the story of cancer forever here.The Secretary of State for Health and Social Care has announced that ambitious plans can proceed for Cambridge Cancer Research Hospital, which promises to change the story of cancer forever.
Our teams are also working hard to secure much-needed philanthropic support to complement the funding committed by the NHS and the University. Generous donations will help realise our vision for this revolutionary, and much-needed, research hospitalDeborah Prentice, Vice-Chancellor The hospital that will change the story of cancer forever Cambridge Cancer Research Hospital - artist's impression
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.
Cambridge Cancer Research Hospital given green light by government
Cambridge Cancer Research Hospital (CCRH) will transform how we diagnose and treat cancer. It will bring together world-leading research and clinical excellence to change the lives of cancer patients across the East of England, the UK and beyond.
The Hospital was part of the government’s review of its New Hospitals Programme. In naming the project as one of the Cohort 2 schemes that already has advanced plans and made significant progress on its full business case, the government confirmed that preparations can go ahead for construction to start in 2026. It remains on track to be built by 2029.
Cambridge Cancer Research Hospital, a partnership between Cambridge University Hospitals and the University of Cambridge, will combine NHS clinical space with three new state-of-the-art research institutes that will support the ambitions set out in the government's new NHS ten-year plan.
Bringing together world-class NHS clinicians with cutting-edge University and industry-led research, the hospital will accelerate the early detection of cancer and prevention of illness, and lead the way in delivering bespoke, precision treatments that will radically improve patient outcomes.
Professor Deborah Prentice, Vice-Chancellor of the University of Cambridge, said: “This is excellent news for the future of Cambridge Cancer Research Hospital, which promises to have a huge impact on how we diagnose and treat cancer, not only in our region, but globally.
“Our teams are also working hard to secure much-needed philanthropic support to complement the funding committed by the NHS and the University. Generous donations will help realise our vision for this revolutionary, and much-needed, research hospital.”
Find out more about the hospital that will change the story of cancer forever here.The Secretary of State for Health and Social Care has announced that ambitious plans can proceed for Cambridge Cancer Research Hospital, which promises to change the story of cancer forever.
Our teams are also working hard to secure much-needed philanthropic support to complement the funding committed by the NHS and the University. Generous donations will help realise our vision for this revolutionary, and much-needed, research hospitalDeborah Prentice, Vice-Chancellor The hospital that will change the story of cancer forever Cambridge Cancer Research Hospital - artist's impression
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.
People who are autistic and transgender/gender diverse have poorer health and health care
Researchers at the Autism Research Centre at Cambridge University found that these individuals also report experiencing lower quality healthcare than both autistic and non-autistic people whose gender identity matches their sex assigned at birth (cisgender).
The findings have important implications for the healthcare and support of autistic transgender/gender diverse (TGD) individuals. This is the first large-scale study on the experiences of autistic TGD people and the results are published today in Molecular Autism.
Previous research suggests that both autistic people and TGD people separately have poorer healthcare experiences and are more likely to be diagnosed with physical and mental health conditions than other people. In addition, a 2020 study of over 640,000 people, carried out by the Autism Research Centre in Cambridge, found that TGD people are more likely to be autistic and have higher levels of autistic traits than other people. Several other studies now confirm this finding and show that autistic people are more likely to experience gender dysphoria than others. Despite these findings, there are no studies that consider risks of mental health conditions, physical health conditions, and healthcare quality among autistic TGD people.
In the largest study to date on this topic, the team at the Autism Research Centre used an anonymous, self-report survey to compare the experiences of 174 autistic TGD individuals, 1,094 autistic cisgender individuals, and 1,295 non-autistic cisgender individuals.
The survey assessed rates of mental health conditions and physical health conditions, as well as the quality of 51 different aspects of healthcare experiences. The healthcare experiences questions were wide-ranging and included questions about communication, anxiety, access and advocacy, system-level issues, and sensory experiences among others. They addressed several very basic aspects of healthcare, including asking participants to endorse statements such as ‘If I need to go to see a healthcare professional, I am able to get there’, ‘I am able to describe how bad my pain feels’, and ‘I usually understand what my healthcare professional means when they discuss my health’.
Both autistic TGD and autistic cisgender adults reported significantly poorer healthcare experiences across 50 out of 51 items compared with non-autistic cisgender people, confirming that autistic people appear to have poorer quality healthcare than non-autistic cisgender individuals, regardless of their own gender identity.
Compared to non-autistic cisgender individuals, autistic TGD people were three to 11 times more likely to report anxiety, shutdowns, and meltdowns related to common healthcare experiences.
For every 10 cisgender non-autistic adults who endorsed the following statements, on average, only two autistic cisgender adults and only one autistic TGD adult stated that they: (i) understood what their healthcare professional meant when discussing their health; (ii) knew what was expected of them when seeing a healthcare professional; or (iii) were able to describe how bad their pain felt.
Autistic TGD people and autistic cisgender people were more likely to report both long-term physical and mental health conditions that were formally diagnosed, suspected, or that had been recommended for assessment by clinicians. For every 10 non-autistic cisgender people who had at least one diagnosed physical health condition, there were 15 autistic cisgender people and 23 autistic TGD people. For every 10 non-autistic cisgender people who reported at least one diagnosed mental health condition, there were 50 autistic cisgender people and 109 autistic TGD people who reported the same.
Alarmingly, it is now well-established that autistic people and TGD people are each at a much higher risk of suicide and suicide-related behaviours than other people. In 2023, the Department of Health and Social Care specifically recognized autistic people as a priority group in their Suicide prevention strategy for England: 2023 to 2028. The new study found that, compared to people who are non-autistic and cisgender, autistic cisgender individuals were 4.6 times more likely and autistic TGD people were 5.8 times more likely to report self-harm.
Dr Elizabeth Weir, a postdoctoral scientist at the Autism Research Centre, and one of the lead researchers of the study, said: “These findings add to the growing body of evidence that many autistic people experience unacceptably poor mental health and are at a very high risk of suicide-related behaviours. We need to consider how other aspects of identity, including gender, influence these risks.”
These results emphasise the importance of considering intersectionality in clinical settings, including health risks for individuals who hold multiple minoritised identities. The researchers say clinicians should be aware of these risks and the unique barriers to healthcare that autistic TGD people may experience. The findings also underscore that people who are autistic and transgender/gender diverse experience particularly high rates of mental health conditions and risks of self-harm.
Professor Sir Simon Baron-Cohen, Director of the Autism Research Centre and a member of the team, said: “We need to consider how to adapt healthcare systems and individual care to meet the needs of autistic transgender/gender diverse people. Policymakers, clinicians, and researchers should work collaboratively with autistic people to improve existing systems and reduce barriers to healthcare.”
Reference
Green, K.*, Weir, E.*, Wright, L.*, Allison, C., & Baron-Cohen, S. Autistic and transgender/gender diverse people’s experiences of health and healthcare. Molecular Autism; 21 Jan 2025; DOI: 10.1186/s13229-024-00634-0
Autistic transgender/gender diverse individuals are more likely to have long-term mental and physical health conditions, including alarmingly high rates of self-harm, new research from the University of Cambridge suggests.
These findings add to the growing body of evidence that many autistic people experience unacceptably poor mental health and are at a very high risk of suicide-related behavioursElizabeth WeirKyle (Unsplash)Woman with transgender flag make-up
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.
People who are autistic and transgender/gender diverse have poorer health and health care
Researchers at the Autism Research Centre at Cambridge University found that these individuals also report experiencing lower quality healthcare than both autistic and non-autistic people whose gender identity matches their sex assigned at birth (cisgender).
The findings have important implications for the healthcare and support of autistic transgender/gender diverse (TGD) individuals. This is the first large-scale study on the experiences of autistic TGD people and the results are published today in Molecular Autism.
Previous research suggests that both autistic people and TGD people separately have poorer healthcare experiences and are more likely to be diagnosed with physical and mental health conditions than other people. In addition, a 2020 study of over 640,000 people, carried out by the Autism Research Centre in Cambridge, found that TGD people are more likely to be autistic and have higher levels of autistic traits than other people. Several other studies now confirm this finding and show that autistic people are more likely to experience gender dysphoria than others. Despite these findings, there are no studies that consider risks of mental health conditions, physical health conditions, and healthcare quality among autistic TGD people.
In the largest study to date on this topic, the team at the Autism Research Centre used an anonymous, self-report survey to compare the experiences of 174 autistic TGD individuals, 1,094 autistic cisgender individuals, and 1,295 non-autistic cisgender individuals.
The survey assessed rates of mental health conditions and physical health conditions, as well as the quality of 51 different aspects of healthcare experiences. The healthcare experiences questions were wide-ranging and included questions about communication, anxiety, access and advocacy, system-level issues, and sensory experiences among others. They addressed several very basic aspects of healthcare, including asking participants to endorse statements such as ‘If I need to go to see a healthcare professional, I am able to get there’, ‘I am able to describe how bad my pain feels’, and ‘I usually understand what my healthcare professional means when they discuss my health’.
Both autistic TGD and autistic cisgender adults reported significantly poorer healthcare experiences across 50 out of 51 items compared with non-autistic cisgender people, confirming that autistic people appear to have poorer quality healthcare than non-autistic cisgender individuals, regardless of their own gender identity.
Compared to non-autistic cisgender individuals, autistic TGD people were three to 11 times more likely to report anxiety, shutdowns, and meltdowns related to common healthcare experiences.
For every 10 cisgender non-autistic adults who endorsed the following statements, on average, only two autistic cisgender adults and only one autistic TGD adult stated that they: (i) understood what their healthcare professional meant when discussing their health; (ii) knew what was expected of them when seeing a healthcare professional; or (iii) were able to describe how bad their pain felt.
Autistic TGD people and autistic cisgender people were more likely to report both long-term physical and mental health conditions that were formally diagnosed, suspected, or that had been recommended for assessment by clinicians. For every 10 non-autistic cisgender people who had at least one diagnosed physical health condition, there were 15 autistic cisgender people and 23 autistic TGD people. For every 10 non-autistic cisgender people who reported at least one diagnosed mental health condition, there were 50 autistic cisgender people and 109 autistic TGD people who reported the same.
Alarmingly, it is now well-established that autistic people and TGD people are each at a much higher risk of suicide and suicide-related behaviours than other people. In 2023, the Department of Health and Social Care specifically recognized autistic people as a priority group in their Suicide prevention strategy for England: 2023 to 2028. The new study found that, compared to people who are non-autistic and cisgender, autistic cisgender individuals were 4.6 times more likely and autistic TGD people were 5.8 times more likely to report self-harm.
Dr Elizabeth Weir, a postdoctoral scientist at the Autism Research Centre, and one of the lead researchers of the study, said: “These findings add to the growing body of evidence that many autistic people experience unacceptably poor mental health and are at a very high risk of suicide-related behaviours. We need to consider how other aspects of identity, including gender, influence these risks.”
These results emphasise the importance of considering intersectionality in clinical settings, including health risks for individuals who hold multiple minoritised identities. The researchers say clinicians should be aware of these risks and the unique barriers to healthcare that autistic TGD people may experience. The findings also underscore that people who are autistic and transgender/gender diverse experience particularly high rates of mental health conditions and risks of self-harm.
Professor Sir Simon Baron-Cohen, Director of the Autism Research Centre and a member of the team, said: “We need to consider how to adapt healthcare systems and individual care to meet the needs of autistic transgender/gender diverse people. Policymakers, clinicians, and researchers should work collaboratively with autistic people to improve existing systems and reduce barriers to healthcare.”
Reference
Green, K.*, Weir, E.*, Wright, L.*, Allison, C., & Baron-Cohen, S. Autistic and transgender/gender diverse people’s experiences of health and healthcare. Molecular Autism; 21 Jan 2025; DOI: 10.1186/s13229-024-00634-0
Autistic transgender/gender diverse individuals are more likely to have long-term mental and physical health conditions, including alarmingly high rates of self-harm, new research from the University of Cambridge suggests.
These findings add to the growing body of evidence that many autistic people experience unacceptably poor mental health and are at a very high risk of suicide-related behavioursElizabeth WeirKyle (Unsplash)Woman with transgender flag make-up
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.