Opening remarks: why France?

-         Yves LEVY, Chairman of Aviesan & Marc BONNEVILLE, Chairman of ARIIS

21^st century epidemiology: challenges and opportunities

-         Gilles BABINET, France’s Digital Champion for the European Commission

The "Constances" cohort: design, applications and foresight

-         Marie ZINS, Scientific leader of Constances

Round table 1 - AI for biomarker discovery: what can we truly expect ?

-         Stanley DURRLEMAN, Researcher, Inria & ICM Brain and Spine Institute

-         Xosé FERNANDEZ, Chief Data Officer, Curie Institute

-         Meriem SEFTA, Partnership and Translational Research Manager, Owkin

-         Benoit TYL, Director of Cardiovascular Translational Research, Servier

-         Nicolas VILLAIN, Head of Research in AI for Medical Imaging, Philips

Practical case - From Paris to Boston: a "deep patient" in nephrology

-         Alexandre LOUPY, Nephrologist at the Department of Nephrology and Kidney Transplantation, Necker Hospital 

Coffee break - Networking

An insight by a global industry - Human derived genome scale data sets and advances analytics to accelerate drug discovery

-         Philippe SANSEAU, Head of Computational Biology and Stats, GSK

Round table 2 - Real-world data: a broad foresight on this tomorrows' gold standard

-         Michèle ARNOE, Head Growth and Innovation, IQVIA

-         Valérie EDEL, Vice-Director, Health data Institute

-         Marc FROUIN, Chief Operating Officer, BioSerenity 

-         Ramon HERNANDEZ,  Head of Advanced Analytics in R&D, Sanofi

-         Remy SLAMA, Scientific coordinator of the SEPAGES cohort (to be confirmed)

Overview of the rising French start-ups using AI on cohorts

-         Rosalie MAURISSE, Head of the health sector, Expertise Direction, BpiFrance

Concluding remarks and insight from Israel

-        Ran BALICER, Founding Director, Clalit Research Institute of Israel 

Lunch & Networking with start-ups [PRIVATE ACCESS - by invitation only]

B2B meetings [PRIVATE ACCESS - by invitation only]