Cambridge Centre for AI in Medicine
Developing novel artificial intelligence and machine learning technologies to revolutionize biomedical science, medicine and healthcare
“AI and machine learning have the potential to truly revolutionise the delivery of healthcare, to the great benefit of patients, clinicians and the wider medical ecosystem.“
Professor Mihaela van der Schaar, Director
“From tackling the immediate threats of COVID-19, to the long-term transformation of healthcare systems, our network of experts is bringing next-level AI to bear on the most pressing medical issues of our time.“
Professor Andres Floto, Co-Director
THE ‘CCAIM’ SWEET SPOT
The ‘Cambridge Centre for AI in Medicine’ develops pioneering AI and machine learning technologies to transform biomedical science, medicine and healthcare.
The Centre is uniquely placed at the intersection of machine learning, science and medicine. Our faculty comprises top-tier researchers from these three domains. This is not a mere juxtaposition of expertise but true interaction.
It is crucial to collaborate deeply across these disciplines because, ultimately, they fuel each other.
Tough clinical problems drive cutting-edge ML solutions. Pioneering ML solutions empower the exploration of key scientific questions. Scientific breakthroughs result in medical advances and the lives of many thousands of people are improved.
Another strength of the Centre is the close relationship to our industry partners at AstraZeneca and GSK. Their valuable input opens up the exciting opportunity to have our innovative research reaching real-world-application effectively and, in return, our collaboration informs our research with real-life demands.
LATEST NEWS
Revolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn?
For our Revolutionizing Healthcare engagement series in conjunction with the van der Schaar Lab, we …
The governance of artificial intelligence – CCAIM makes recommendations to government
Over the course of several months, the Science and Technology Committee came together to hear …
CCAIM at ICML 2023: All you need to know
CCAIM Faculty members will present 12 papers when Fortieth International Conference on Machine …
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