AI & Health
09:00-12:30 January 29

½ day

@ 5ABC


Machine learning - accelerating understanding of real-world patient data

09:00-09:12 January 29 · with Asif Jan

Deep learning for automated grading of prostate cancer histopathology images

09:12-09:24 January 29 · with Eirini Arvaniti Slides

Health Search and Machine-Learned Epidemiology

09:25-09:45 January 29 · with Evgeniy Gabrilovich

Deep learning meets Rheumatology - the use of neuronal networks to improve disease prediction and choice of treatment

09:45-09:57 January 29 · with Thomas Hugle

Opening the Black Box: Making Deep Learning Interpretable & Transparent

09:57-10:09 January 29 · with Wojciech Samek Slides

AI and Urban Health

10:10-10:30 January 29 · with Elaine Nsoesie

Coffee Break

10:30-11:00 January 29

How to bring AI medical devices to the market - Regulatory insights

11:00-11:12 January 29 · with Gloria Macia Slides

Let them speak: machine learning boosts language rehabilitation training after stroke

11:12-11:34 January 29 · with Michael Tangermann, David Hübner

Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction in Cancer

11:34-11:46 January 29 · with Ali Oskooei

How machine learning is enabling us to better understand patient quality of life

11:46-11:58 January 29 · with Valeria De Luca

What's My Disease? Natural Language Processing and Deep Learning for Medical Diagnosis Prediction

11:58-12:20 January 29 · with Tomas Dikk, Gabriel Krummenacher, Matthias Kämpf

State of Recurrent Neural Networks for Chronic Disease Onset Prediction

12:20-12:30 January 29 · with Sunil Mallya


Ali Oskooei

Researcher, IBM Research Zurich Laboratory

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Asif Jan

Group Director (Analytics) Personalized Healthcare (PHC) Data Science, Roche

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David Hübner

PhD Student, University of Freiburg

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Eirini Arvaniti

PhD Student, ETH Zurich

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Elaine Nsoesie

Professor, Boston University

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Evgeniy Gabrilovich

Senior Staff Research Scientist, Google

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Gabriel Krummenacher

Lead Data Scientist, Zühlke Engineering AG

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Gloria Macia

Data Scientist, Roche Diagnostics

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Matthias Kämpf

Head of Technology, Insel Data Science Center

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Michael Tangermann

Head of the Brain State Decoding Lab, University of Freiburg

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Sunil Mallya

Deep learning, Amazon Web Services

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Thomas Hugle

Professor, University Hospital Lausanne (CHUV)

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Tomas Dikk

Senior Data Scientist, Zühlke Engineering AG

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Valeria De Luca

Data Scientist, Novartis Institutes for Biomedical Reasearch

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Wojciech Samek

Head of Machine Learning Group, Fraunhofer Heinrich Hertz Institute

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In most countries in the world, the healthcare sector is either the largest or fastest growing economic sector. The effect of machine learning will undoubtedly be immense, and can already be felt everywhere, from medical research to chatbots to AI-based diagnostic systems.


Marcel Salathé

Professor, EPFL

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Sunil Mallya

Deep learning, Amazon Web Services


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