Contributed Session 3 (15h50:16h10) - Audrey Lavenu - Comparaisons de méthodes pour données de survie en grande dimension sur de petits échantillons

Invited session 1 - Multi-source data integration (16h30:17h00) - Eric Letouzé - Multi-omics data integration in cancer research

Invited session 1 - Multi-source data integration (17h00:17h30) - Erwan Drézen - Better data for a better science: the challenge of linking health databases

Contributed Session 4 (16h10:16h30) - Marie Deprez - Decoding Genetic Markers of Multiple Phenotypic Traits Through Biologically Constrained Genome-To-Phenome Bayesian Sparse Regression

Contributed Session 4 (15h30:15h50) - Cheïma Boudjeniba - Identification of consensus whole blood transcriptomic gene modules in patients with primary Sjögren’ s Syndrome

Invited session 2 - Neuroscience and Image Analysis (10h30:11h00) - Alexandre Gramfort - Machine learning without human supervision on neuroscience data

Invited speaker (14h00:15h00) - Stéphanie Allassonnière - Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Invited speaker (9h00:10h00) - Rodolphe Thiébaut - Analyzing transcriptomics data for understanding and predicting vaccine response in clinical trials

Invited/Contributed session 3 - AI and ethics (11h50:12h10) - Béatrice Desvergne - L’Intelligence artificielle pour réconcilier santé personnalisée et santé publique ?

Contributed Session 1 (11h30:11h50) - Antoine Bichat - Analysis of Cancer Dependency Maps

Contributed Session 1 (12h10:12h30) - Bastien Chassagnol - Robust deconvolution of transcriptomic samples using the gene covariance structure

Invited/Contributed session 3 - AI and ethics (10h30:10h50) - Jean-Michel Loubes - Bias in data for Machine Learning Algorithms

Invited/Contributed session 3 - AI and ethics (11h10:11h30) - Nicolas Berkouk - The field of Explainable AI : creating machines to explain machines ?

Invited session 2 - Neuroscience and Image Analysis (11h00:11h30) - Florence Forbes - Simulation based inference for high dimensional inverse problems: application to magnetic resonance fingerprinting

Invited speaker (10h00:11h00) - Gregory Nuel - Inferring causality from a mixture of observations and interventions

Invited speaker (14h30:15h30) - Basile Chaix - The use of wearable sensors and smartphones in environment - health research

La baguette magique d'Eskin-Mirzakhani

Diophante, Hilbert et les algorithmes

Artificial intelligence and health: interdisciplinary approaches

Intelligence artificielle et santé : approches interdisciplinaires