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AI and Machine Learning in Healthcare Summer School

September 5 – 9, 2022

Participate

Unlock your Potential

From 5 to 9 September 2022, CCAIM invites you to

the world’s first Online Summer School exclusively focused on AI and Machine Learning for Healthcare

bringing together Students, Researchers, Clinicians, and Industry Experts

Keynote talks

Themed workshops

Industry opportunities: GSK, AZ, Microsoft, Google DeepMind

Roundtable discussions

Expert Mentorship

Online Exhibition – present your work

Program

Over five days, we will provide an intense dive into the future of machine learning in healthcare covering its potential for data interpretation, clinical trials, discovery, treatment effect estimation, quantitative epistemology, causal deep learning, AutoML, graph neural nets and applications in genomics, risk prediction, survival analysis, longitudinal studies, visualisation, synthetic data and much more…

Topics

Our experts will bring you their visions about the most important topics in the cross-section of AI, machine learning, and healthcare

Speakers

We have world-leading experts in the fields of AI, machine learning, and healthcare to present engaging lectures, offer unique mentorship, and share their visions about the future of healthcare with you.

Industry

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.

“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

Participate

Click on the links for more information

Note: this year’s Summer School is still under construction, so, this page will be updated regularly. We will keep participants updated via our Summer School mailing list. If you are interested but still undecided – make sure to come back for up-to-date information.

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