Room: Conference room 5


09:15-09:30 Opening remarks: Welcome and introduction to ELLIS HealthGunnar Rätsch, Oliver Stegle

09:30-10:45 Overview talks by ELLIS Health fellows to cover three main health application areas

 HealthMihaela van der Schaar, University of Cambridge, UK

 OmicsChristoph Bock, CeMM Vienna, AT

 ImagingMatthew Blaschko, KU Leuven, NL

10:45-11:15 Coffe Break

11:15-12:00 Keynote: What does the clinician really want from Machine Learning?Jem Rashbass, National Director of Disease Registration and Cancer Analysis, UK

12:00-13:00 Short talks by guests or ELLIS Health fellows

 Pan-cancer computational histopathology reveals mutations, tumor composition and prognosisMoritz Gerstung, European Bioinformatics Institute (EMBL-EBI), UK

 Quantifying tumors in clinical image dataBjörn Menze, TU Munich, D

 Uncertainties in diffusion MRIAasa Feragen, University of Copenhagen, DK

13:00-16:00 Lunch

16:00-16:20 Long-term Alzheimer’s Disease Forecasting by Predicting Latent RepresentationsMadalina Fiterau, University of Massachusetts, Amherst; College of Information and Computer Sciences, USA

16:20-17:10 Keynote: Machine learning based protein and small molecule designJennifer Listgarten, University of Berkeley, USA

17:10-17:30 Coffe Break

17:30-18:30 Short talks by guests or ELLIS Health fellows

 Genomes and AI: From Packing to RegulationCaroline Uhler, ETH Zürich & MIT, CH & USA

 Accessible and affordable primary care - some research challengesNils Hammerla, Director of ML & NLP, Babylon Health, UK

 Quantifying tumors in clinical image dataBjörn Menze, TU Munich, D

18:30-19:00 Discussion/Closing