The Cambridge Centre for Artificial Intelligence in Medicine is delighted to invite you to our Summer School on Artificial Intelligence (AI) and Machine Learning (ML) in Medicine, taking place from 18 to 20 September 2026. This exclusive event is designed for physicians, medical students, clinicians, and industry professionals who are eager to explore AI and ML.

Why Join Us?
• Tailored for Medical Professionals: Enhance your knowledge at a summer school specifically curated for physicians, medical students, and industry experts like you.
• Comprehensive Learning Experience: Enjoy introductory sessions covering key machine learning concepts alongside sessions featuring cutting-edge research and applications in Medicine.
• World-Class Expertise: Gain invaluable insights from keynote speakers who are globally recognized leaders in AI and healthcare.
• Innovative Topics: Explore cutting-edge research on agent-based AI systems, large language models (LLMs) for clinical reasoning and decision support, and data-driven estimation of treatment effects for personalized medicine.
• Collaborative Discussions: Participate in clinician-driven sessions that address real-world challenges, with ML experts providing innovative solutions.
• Exceptional Networking Opportunities: Connect with leading researchers, industry professionals, and like-minded participants, with opportunities to foster meaningful collaborations and apply to briefly present your research at participant exhibitions.

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.

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.