The Cambridge Centre for AI in Medicine is excited to host the ML for Healthcare Summer School from 7 to 11 September 2026. This annual event is designed for PhD students, academics, and industry professionals passionate about leveraging machine learning to transform healthcare. Join us for an immersive week where cutting-edge technology meets real-world medical challenges.

What makes this Summer School unique?

· Focused on Novel Applications: Dedicated exclusively to latest advancements in Machine Learning and their innovative applications in Healthcare.
· Multidisciplinary Leadership: Sessions led by not only machine learning experts but also clinicians, epidemiologists, and statisticians, ensuring a comprehensive perspective.
· Advanced and Diverse Topics: Covering a wide range of cutting-edge subjects, including generative AI and large language models, data-centric AI, causal inference, representation learning, time series analysis, uncertainty estimation, and responsible AI.
· Industry Roundtables: Interactive discussions where industry leaders present key challenges in integrating AI into healthcare, providing real-world insights and fostering collaboration.
· Exclusive Networking Opportunities: Connect with leading researchers, industry professionals, and fellow participants to build meaningful relationships, discuss your own research interests and explore future collaborations.

Note on registration:* 3 years after PhD/degree. If applicants are found not to meet the eligibility criteria, their registration will be automatically cancelled without prior notice, and a full refund will be issued.

Early bird rates available until 31 May 2026.