Track / Overview

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.

Track / Schedule

Machine learning – accelerating understanding of real-world patient data

With Asif Jan

Deep learning for automated grading of prostate cancer histopathology images

With Eirini Arvaniti

Health Search and Machine-Learned Epidemiology

With Evgeniy Gabrilovich

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

With Thomas Hugle

Opening the Black Box: Making Deep Learning Interpretable & Transparent

With Wojciech Samek

AI and Urban Health

With Elaine Nsoesie

Coffee Break

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

With Gloria Macia

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

With Michael Tangermann & David Hübner

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

With Ali Oskooei

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

With Valeria De Luca

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

With Gabriel Krummenacher, Tomas Dikk & Matthias Kämpf

State of Recurrent Neural Networks for Chronic Disease Onset Prediction

With Sunil Mallya

Track / Speakers

Sunil Mallya

Principal Deep Learning Scientist, AWS

Elaine Nsoesie

Assistant Professor, Boston University School of Public Health

Asif Jan

Chief Data Officer, Owkin

Gloria Macia

Data Scientist, F. Hoffmann-La Roche

Evgeniy Gabrilovich

Senior Staff Research Scientist, Google

Tomas Dikk

Senior Data Scientist, Zühlke Engineering AG

Gabriel Krummenacher

Head of Data Science, Zühlke

Wojciech Samek

Head of Machine Learning Group, Fraunhofer Heinrich Hertz Institute

Thomas Hugle

Professor, University Hospital Lausanne (CHUV)

Ali Oskooei

Researcher, IBM Research Zurich Laboratory

Eirini Arvaniti

PhD Student, ETH Zurich

Matthias Kämpf

Head of Technology, Insel Data Science Center

Michael Tangermann

Head of the Brain State Decoding Lab, University of Freiburg

David Hübner

PhD Student, University of Freiburg

Valeria De Luca

Associate Director and Senior Principal Data Scientist, Novartis

Track / Co-organizers

Marcel Salathé

Professor, EPFL

Sunil Mallya

Principal Deep Learning Scientist, AWS

AMLD EPFL 2019 / Tracks & talks

AI & Health

Sunil Mallya, Elaine Nsoesie, Asif Jan, Gloria Macia, Evgeniy Gabrilovich, Tomas Dikk, Gabriel Krummenacher, Wojciech Samek, Thomas Hugle, Ali Oskooei, Eirini Arvaniti, Matthias Kämpf, Michael Tangermann, David Hübner, Valeria De Luca

09:00-12:30 January 295ABC

AI & Language

Jakob Uszkoreit, Nicolas Perony, Andrei Popescu-Belis, Lars Maaløe, Vered Shwartz, Hrant Khachatrian, Christian Reisswig, João Graça, Michele Sama, Richard Zens, Joern Wuebker, Ines Montani

13:30-17:00 January 285ABC

AI & Transport

Sunil Mallya, Erik Nygren, Francisco Pereira, Matthieu Cord, Arnaud de La Fortelle, Julian Kooij, Adrien Gaidon, Roxanne Tison, Alberto Chiappa, Mark Meeder, Adrian Egli

09:00-12:30 January 293A

AMLD / Global partners