UK government announces £100m mission to capitalise on AI potential – Med-Tech Innovation

UK government announces £100m mission to capitalise on AI potential - Med-Tech Innovation

AI in health

In a speech on Thursday, Rishi Sunak announced that a £100 million in new government investment will be targeted towards areas where rapid deployment of AI has the greatest potential to create transformational breakthroughs in treatments for previously incurable diseases. The AI Life Sciences Accelerator Mission will capitalise on the UK’s strengths in secure health data and AI.

The Life Sciences Vision encompasses eight critical healthcare missions that government, industry, the NHS, academia, and medical research charities will work together on at speed to solve – from cancer treatment to tackling dementia.

The £100 million will help drive forward this work by exploring how AI could address these conditions, which have some of the highest mortality and morbidity.

For example, AI could further the development of novel precision treatments for dementia. This new government funding for AI will help harness the UK’s health data to identify those at risk of dementia and related conditions, ensure that the right patients are taking part in the right trials at the right time to develop new treatments effectively, and give us better data on how well new therapies work. By using AI to support the growing pipeline of new dementia therapies, the best and most promising treatments can be selected to go forwards, and patients can receive the right treatments that work best for them.

AI driven technologies are showing promise in being able to diagnose, and potentially treat, mental ill health. For example, companies are using conversational AI that supports people with mental health challenges and guides them through proactive prevention routines, escalating cases to human therapists when needed.

This funding could help to invest in parts of the UK where the clinical needs are greatest to test and trial new technologies within the next 18 months.

Prime minister Rishi Sunak said: “AI can help us solve some of the greatest social challenges of our time. AI could help find novel dementia treatments or develop vaccines for cancer.

“That’s why today we’re investing a further £100 million to accelerate the use of AI on the most transformational breakthroughs in treatments for previously incurable diseases.”

Secretary of state for science, innovation and technology Michelle Donelan commented: “This £100 million Mission will bring the UK’s unique strengths in secure health data and cutting-edge AI to bear on some of the most pressing health challenges facing the society.

“Safe, responsible AI will change the game for what it’s possible to do in healthcare, closing the gap between the discovery and application of innovative new therapies, diagnostic tools, and ways of working that will give clinicians more time with their patients.”

Health and social care secretary Steve Barclay added: “Cutting-edge technology such as AI is the key to both improving patient care and supporting staff to do their jobs and we are seeing positive impacts across the NHS.

“This new accelerator fund will help us build on our efforts to harness the latest technology to unlock progress and drive economic growth.

“This is on top of the progress we have already made on AI deployment in the NHS, with AI tools now live in over 90% of stroke networks in England – halving the time for stroke victims to get the treatment in some cases, helping to cut waiting times.”

Building on partnerships already using AI in areas like identifying eye diseases, industry, academia and clinicians will be brought together to drive forward AI research into earlier diagnosis and faster drug discovery.

The government will invite proposals bringing together academia, industry, and clinicians to develop innovative solutions.

This funding will target opportunities to deploy AI in clinical settings and improve health outcomes across a range of conditions. It will also look to fund novel AI research which has the potential to create general purpose applications across a range of health challenges – freeing up clinicians to spend more time with their patients.