Biology and medicine are generating vast amounts of data, from DNA sequencing to imaging, that scream for computational analyses. Over the past decade, artificial intelligence (AI) methods such as deep learning have fueled breakthroughs in many data-intensive fields, such as computer vision, speech recognition or question-and-answer systems, as recently illustrated by ChatGPT. AI also holds enormous potential for biology and health. AI-powered methods can accurately predict 3D protein structures from their DNA sequence, diagnose skin cancer from photographs, predict patient outcomes or help design new drugs. AI can also integrate large and complex data sets including genomics, transcriptomics and proteomics data and mine them for new insights. This symposium will bring together researchers working at the intersection of AI with biomedical sciences to discuss opportunities and challenges in this exciting and rapidly evolving field. We hope it will foster collaborations and inspire new ideas in the application of AI for biology and health.
This event is organized as part of a transversal initiative on AI (ATC-AI).
There will be a dozen talks on applications of AI to genomics, structural biology, imaging and more.
There will also be posters session (with poster prizes).
The symposium will include four invited keynote talks by eminent speakers:
Anna Kreshuk (EMBL, Heidelberg, Germany)
Maria Rodriguez Martinez (IBM, Zurich Research Laboratory, Zurich, Switzerland)
Fabian Theis (Helmholtz Zentrum München, Munich, Germany)
Jean- Philippe Vert (Owkin, Paris, France)