Track / Overview

Ongoing uptake in the implementations of clinical trial management and electronic medical records infrastructure has resulted in creation of large amounts of medical data, detailing various stages of the disease onset, progression and outcomes, at an unprecedented level of detail. Given this enormous increase in healthcare data volumes, our ability to effectively share, integrate and analyze is critical to advancing our understanding of the disease and bringing affordable and efficacious treatments to patients. Due to the breadth and depth of the healthcare data across various modalities such as clinical, genomics, imaging and digital sensors, we need to move beyond traditional methods and bring advanced ML/AI implementations to maximally benefit from the richness of the collected data. As part of the drug development life-cycle vast amounts of clinical trials data are collected in order to identify targets of interest, discover biomarkers to stratify patients who could benefit from the drug, and to study the safety and benefit profile of the drug. Furthermore, after the drug is brought to the market its use in a broader population is collected in a wide range of real-world data sources including, but not limited to, electronic medical records, disease registries, health insurance claims, and digital devices. While in recent years we have seen innovative applications of AI/ML leveraging rich medical data, we as a community have not been able to combine the power of AI/ML and rich multi-modal datasets to deliver truly personalized care for patients.

This track will invite experts from industry, academia and startups to share their experiences in using AI/ML for Pharma R&D usecases in drug discovery and development to showcase successful implementations and also lay the roadmap of future methodological and application innovations accelerating use of ML/AI within Pharma research.

Track / Schedule


With Asif Jan

AI-driven Target Validation in Early Stage Drug Discovery

With Patrick Schwab

Personalized cancer therapies based on spatial heterogeneity of the tumor ecosystem

With Marianna Rapsomaniki

AI for Evidence-Based Covariate Adjustment in Clinical Trials

With Félix Balazard

Denoising of Single Cell Sequencing Data with Probabilistic Deep Learning

With Caibin Sheng

Enabling the Right Decisions Sooner in Healthcare with AI

With Carlos Ciller


Learning Biomarkers from Heterogeneous Medical Imaging Data: Centralised and Federated Learning Approaches

With Jonas Richiardi

Predicting Subgroup Treatment Effects for a New Study: Results and Learnings from a Company-Internal Data Challenge

With Giulia Capestro & Silvia Zaoli

Making the Most of Single-Cell Data for Sensitive Biomarker Discovery with the ScaiVision Platform

With Martijn van Attekum

Panel Discussion: Causality for Multimodal Learning in Healthcare Applications

With Naghmeh Ghazaleh, Alexander Büsser, Marianna Rapsomaniki, Félix Balazard & Jonas Richiardi


With Asif Jan

Track / Speakers

Asif Jan

Chief Data Officer, Owkin

Jonas Richiardi

Principal Investigator and Senior Lecturer, Lausanne University Hospital and University of Lausanne

Patrick Schwab

Director, Artificial Intelligence and Machine Learning, GSK

Naghmeh Ghazaleh

Senior data scientist, Roche

Alexander Büsser

Associate Director Data Science & RWD, Idorsia

Carlos Ciller

CEO & Co-founder, RetinAI

Caibin Sheng

Postdoctoral fellow, Novartis Institute for BioMedical Research

Silvia Zaoli

Data Scientist, Novartis

Félix Balazard

Lead data scientist, Owkin

Giulia Capestro

Data Scientist, Novartis

Marianna Rapsomaniki

Group Leader, IBM Research Zurich

Martijn van Attekum

Technical Lead, Scailyte AG

Track / Co-organizers

Asif Jan

Chief Data Officer, Owkin

Naghmeh Ghazaleh

Senior data scientist, Roche

Mark Baillie

Director Data Science, Novartis

Alexander Büsser

Associate Director Data Science & RWD, Idorsia

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