Room: Conference room 5


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

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

Health Mihaela van der Schaar, University of Cambridge, UK

Omics Christoph Bock, CeMM Vienna, AT

Imaging Matthew 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 prognosis Moritz Gerstung, European Bioinformatics Institute (EMBL-EBI), UK

Quantifying tumors in clinical image data Björn Menze, TU Munich, D

Uncertainties in diffusion MRI Aasa Feragen, University of Copenhagen, DK

13:00- 16:00 Lunch

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

16:20- 17:10 Keynote: Machine learning based protein and small molecule design Jennifer 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 Regulation Caroline Uhler, ETH Zürich & MIT, CH & USA

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

Quantifying tumors in clinical image data Björn Menze, TU Munich, D

18:30- 19:00 Discussion/Closing