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DALI/ELLIS: Health
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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