Track / Overview

The healthcare industry has been driving the discovery and development of innovative pharmaceuticals and diagnostics that have helped millions of patients across the globe. However, patients are still facing unmet medical needs and healthcare systems, as they are today, are unsustainable.

The healthcare industry therefore has started to move away from the traditional ‘one size fits all’ approach to deliver more precise, evidence-based, personalised and holistic care that delivers value for all stakeholders.

Increasing volumes of multimodal healthcare data and new types of real-world data from digital technologies in combination with analytics (ML/AI) provide us with the tools needed to optimize clinical research and clinical practice and therefore deliver better treatment by increasing the resolution of our understanding of individual patients and their holistic disease journey. Finally, AI applications can also support public health monitoring, research and, ultimately, decision making, ushering a new era of precision public health.

To unleash the full potential of analytics (ML/AI), a number of aspects has to be taken into consideration, for example data quality & bias, technical approaches to developing ‘explainable AI’, methodologies & implementation of AI systems in drug development, diagnostics, clinical trials, clinical decision support systems as well as their, ethical and privacy constraints. A sense of trust in health-related AI technologies is needed to provide appropriate guarantees for the credibility of the healthcare industry. This means we need answers to the question of what it means to deploy truly trustworthy and transparent AI.

The track “AI & Healthcare” aims at bringing together researchers from academia, public health, start-ups and industry to share experiences and best practices, to jointly discuss the potential of AI in the transformation of healthcare towards a trustworthy system with improved patient and society outcomes.

We are calling for participation on the following topics:
data quality & bias, technical approaches to developing ‘explainable AI’,, methodology development toward understanding patient journeys, standards and ethical & privacy constraints for AI in healthcare, methodologies & implementation of AI systems in diagnostics, clinical trials, real world data analysis, drug discovery, drug development, clinical decision support tools.

Track / Schedule

Welcome

With Gunther Jansen, Elif Ozkirimli, Emina Atlagic, Ria Kechagia & Thomas Zaugg

Introduction to Methodological Innovations in Data Science, ML and AI

With Gunther Jansen

Swissmedic: Regulator & Innovator. Harnessing AI for Automated Market Oversight

With Nicolas Perez Gonzalez

Data-Driven Discovery Science with FAIR Knowledge Graphs

With Michel Dumontier

AI for Modeling and Clustering Multivariate Disease Trajectories with Missing Values

With Holger Fröhlich

Robust and Interpretable Learning for Healthcare

With Dorina Thanou

Summary & Q&A

With Gunther Jansen

Break

Introduction to Applications and Use cases

With Elif Ozkirimli

Machine-Learning based Multi-omics Data Integration for Personalized Oncolgy

With Florian Buettner

Building Research and Applied Tool: an Open Community for Healthcare NLP

With Thomas Wolf

Panel Discussion: Applications and Use Cases

With Marco Giannitrapani, Charlotta Früchtenicht, Jean Verrette, Mirko Birbaumer, Elif Ozkirimli, Emina Atlagic & Gabriel Krummenacher

Summary & Q&A

With Elif Ozkirimli

Introduction to Trustworthy AI in HealthCARE: Ethical and Regulatory Aspects

With Ria Kechagia

Legal and Ethical Dimensions of Health AI

With Michael Krauthammer

Big Data and AI for Health: Ethics and Policy Considerations

With Agata Ferretti

AI to Guide Precision Oncology in Solid Tumors

With Olivier Michielin

Stakeholder Roles in Promoting Quality and Trust in Medical AI

With Nicholson Price

Summary & Q&A

With Ria Kechagia, Agata Ferretti, Nicholson Price, Olivier Michielin & Michael Krauthammer

Wrap-up

With Gunther Jansen, Elif Ozkirimli, Emina Atlagic, Ria Kechagia & Thomas Zaugg

Track / Speakers

Ria Kechagia

Scientific Collaborator, C4DT / EPFL

Gabriel Krummenacher

Head of Data Science, Zühlke

Thomas Zaugg

Head Open Innovation & External Networks, Roche Diagnostics

Thomas Wolf

Co-founder and Chief Science Officer, Hugging Face

Elif Ozkirimli

Head of Data Science, Roche

Gunther Jansen

Global Head, Personalized Healthcare Analytics, Roche

Emina Atlagic

Internal Digital Tools & Initiatives, Roche Diagnostics Int. AG

Marco Giannitrapani

Global Head of Data & Analytics for Go To Market, Roche

Charlotta Früchtenicht

Senior Data Scientist, Roche

Florian Buettner

Professor, DKFZ

Holger Fröhlich

Head of AI & Data Science, Deputy Head of Department of Bioinformatics, Fraunhofer SCAI

Jean Verrette

Principal Data Scientist, Roche

Michael Krauthammer

Professor, University of Zürich

Michel Dumontier

Professor, Maastricht University

Mirko Birbaumer

Professor, HSLU

Nicolas Perez Gonzalez

Data Scientist, Swissmedic

Olivier Michielin

Professor, CHUV-UNIL

Agata Ferretti

Dr, ETH Zurich

Dorina Thanou

Intelligent Systems for Medicine and Health Program Lead at CIS-EPFL

Nicholson Price

Professor of Law, University of Michigan

Track / Co-organizers

Thomas Zaugg

Head Open Innovation & External Networks, Roche Diagnostics

Ria Kechagia

Scientific Collaborator, C4DT / EPFL

Elif Ozkirimli

Head of Data Science, Roche

Gunther Jansen

Global Head, Personalized Healthcare Analytics, Roche

Emina Atlagic

Internal Digital Tools & Initiatives, Roche Diagnostics Int. AG

David Viollier

Business Development Manager, C4DT / EPFL

Melanie Kolbe

Project Manager, C4DT

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners