“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
This Summer School is all about the interdisciplinary focus – bringing together more than 400 AI/ML Researchers, Clinicians, and Industry professionals both as participants and speakers, with over a quarter of them coming from international institutions (2022 numbers).
What can you expect?
Over five days, we will provide an intense dive into the future of machine learning in healthcare: our experts will bring you their visions about the most important topics in the cross-section of Al, machine learning, and healthcare.
Time-Series in Healthcare
Individualised Treatment Effects
Causal Deep Learning
ML for Clinical Trials
Large Language Models
and much more…
Get close to the Experts!
We have world-leading experts in the fields of Al, machine learning, and healthcare to present engaging lectures, offer unique mentorship, and share their visions about the future of healthcare with you. CCAIM is proud to collaborate with some of the biggest companies in Al and machine learning research, as well as representatives of the healthcare industry such as GSK and AstraZeneca. We are looking forward to engaging discussions at our industry roundtable, as well as having these professionals present their current research.
Roundtables with Industry
Networking & Exhibitions
This year, we are introducing extensive hands-on sessions tailored specifically for clinicians! In these sessions, we will introduce you to and guide you through some of our most advanced software tools:
Learn from the biggest experts in the world:
Researchers, clinical practitioners, industry professionals
Founding Director of the Wyss Institute; Judah Folkman Professor of Vascular Biology; Hansjörg Wyss Professor of Bioinspired Engineering
Harvard John A. Paulson School
Meet all your speakers here.
We are proud to collaborate with some of the biggest companies in AI and machine learning research, as well as representatives of the healthcare industry. We are looking forward to engaging discussions at our industry roundtable, as well as having these professionals present their current research.