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CCAIM

CCAIM

Novel AI to transform healthcare

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About us

Artificial Intelligence and machine learning have the potential to solve some of the most intractable problems in biomedical science, turbocharge medical discovery and, critically, revolutionize healthcare delivery.

The Cambridge Centre for AI in Medicine, is helping to make this a reality through its world-leading research, close partnerships with the NHS and industry, and a range of upcoming education initiatives. To reach this goal, our partners at AstraZeneca and GSK not only provide funding but also strategic input for the issues important in drug development and patient care.

The Centre’s overarching aim is a breakthrough in the understanding and treatment of complex diseases, with the more immediate goals of transforming personalised healthcare delivery – including the effective administration of treatments over time – and pioneering, next-generation clinical trials.

We will fulfill these goals using approaches including novel algorithms, methods and systems for biomedical discovery, omics analytics, precision medicine – including early diagnostics – and next-generation adaptive clinical trials.  

Successfully bridging the gap between the complex fields of AI, bioscience and medicine requires deep interdisciplinary collaboration. That is why CCAIM comprises a unique coalition of leading Cambridge scientists, clinicians, medical researchers, geneticists, computational biologists and biostatisticians. The centre’s expertise is broad and deep.  

Our Vision

We have established a virtual university centre to support cross-disciplinary research and development of artificial intelligence for medicine, biomedical science and healthcare.

We aim to…

  • Achieve a breakthrough in the understanding and treatment of complex diseases. This will require developing new methods, breaking the barriers between machine learning/AI and biomedicine, and using these methods to discover new links and causal relationships among clinical data, genetic data, proteomic data, metabolic data and more
  • Achieve a breakthrough in personalised healthcare delivery, including effective administration of treatments over time, and in the way in which clinical trials are conducted.
  • Develop cutting-edge AI methodologies and technologies (including patents) that are transformative for medicine and healthcare delivery and build demonstrators to showcase the potential of AI in medicine.
  • Through support from our backers, AstraZeneca and GSK, fund five PhD co-supervised studentships per year to drive cross-disciplinary research and clinical implementation.
  • Organise regular roundtable days focused on bringing interested Cambridge scientists and clinicians together with national and international leaders and industry partners to identify and formalise problems, produce consensus white papers on the basis of the emerging ideas, and establish ourselves as the nationally and internationally recognised think tank for AI in medicine.
  • Host a regular seminar series in which internationally recognised leaders present their work and ideas.
  • Work with our industry partners to develop ideas and discuss their implementation with industry and NHS partners.

Partners

Delivering a big impact in healthcare would be impossible without our partnership with key healthcare players GSK and AstraZeneca. We are also proud to count NHS Digital and Public Health England among our collaborators.  

Sidebar

Cambridge Centre for AI in Medicine Follow 451 2,514

CC4AIM
CC4AIM avatar; Cambridge Centre for AI in Medicine @CC4AIM ·
30 Mar 1641435153410162689

In their latest blog, the van der Schaar lab describes the transformative potential of #MachineLearning in healthcare using clinical data! They delve into data requirements for clinicians & how ML tools can help. Read about their engagement session here:

Image for twitter card

Data for clinical machine learning // van der Schaar Lab

Comprehensive summary of the 22 March Revolutionizing Healthcare session on what data clinicians need and how ML tools can help them.

www.vanderschaar-lab.com

Reply on Twitter 1641435153410162689 Retweet on Twitter 1641435153410162689 0 Like on Twitter 1641435153410162689 2 Twitter 1641435153410162689
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