Cambridge Centre
for AI in Medicine
Developing novel artificial intelligence and machine learning technologies to revolutionise 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, Director
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, GSK, Sanofi, Boehringer Ingelheim, Takeda, and QuantumBlack, the AI division of McKinsey & Company. 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.
THE ‘CCAIM’ SWEET SPOT

Our Research




Latest posts
Keep up with the latest news in the field
- New roadmap explores how causal inference and digital twins could transform clinical trials

- Highlights from the 2026 CCAIM Symposium



- CCAIM Announces Partnership with Takeda



- AI-Enabled Clinical Trials: Advancing a Core Pillar of CCAIM’s Vision



- Prof van der Schaar to deliver State-of-the-Art Lecture at EASL Congress 2026



- Research spotlight: Interpretable DNA sequence analysis with Nicolas Huynh and Prof David Bentley



- Partnering with Cambridge: AI to Revolutionise Clinical Trials



- CCAIM at NeurIPS 2025



- CCAIM researchers publish manifesto on AI-driven transformation of clinical trials



- CCAIM Announces Strategic Collaboration with McKinsey & Company to Accelerate AI-Driven Innovation in Life Sciences and Healthcare



