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

½ day

@ 5ABC

Schedule

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

Speakers

Ali Oskooei

Researcher, IBM Research Zurich Laboratory

More info

Asif Jan

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

More info

David Hübner

PhD Student, University of Freiburg

More info

Eirini Arvaniti

PhD Student, ETH Zurich

More info

Elaine Nsoesie

Professor, Boston University

More info

Evgeniy Gabrilovich

Senior Staff Research Scientist, Google

More info

Gabriel Krummenacher

Lead Data Scientist, Zühlke Engineering AG

More info

Gloria Macia

Data Scientist, Roche Diagnostics

More info

Matthias Kämpf

Head of Technology, Insel Data Science Center

More info

Michael Tangermann

Head of the Brain State Decoding Lab, University of Freiburg

More info

Sunil Mallya

Deep learning, Amazon Web Services

More info

Thomas Hugle

Professor, University Hospital Lausanne (CHUV)

More info

Tomas Dikk

Senior Data Scientist, Zühlke Engineering AG

More info

Valeria De Luca

Data Scientist, Novartis Institutes for Biomedical Reasearch

More info

Wojciech Samek

Head of Machine Learning Group, Fraunhofer Heinrich Hertz Institute

More info

Details

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.

Co-organizers

Marcel Salathé

Professor, EPFL

Twitter  ·  Website

Sunil Mallya

Deep learning, Amazon Web Services

Twitter

Previous
AI & Finance

Next
AI & Trust