BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Ecole thématique AI4BioMed 2026 DTSTART:20260331T110000Z DTEND:20260403T160000Z DTSTAMP:20260412T143600Z UID:indico-event-29@indico.engineering.univ-lyon1.fr CONTACT:nicolas.lartillot@univ-lyon1.fr\;0614837458 DESCRIPTION:AI and Machine Learning and their Applications to Biology and HealthUniversité Lyon 1\, La Doua\, Villeurbanne.Artificial intelligence and machine learning are rapidly transforming our research activity in bio logical sciences and health. As a result\, there is a critical need for ma king machine learning and AI accessible to everyone currently working in t hese scientific and applied domains. To meet those challenges\, the DIgit BioMed initiative proposes a 4-day spring school\, March 31 - April 3\, 20 26\, on machine learning and AI in Biological and Health sciences. This sp ring school will provide a basic introduction to machine learning\, deep l earning\, AI\, and their applications to biology and health. In terms of the practical outline\, the three days will consist of a combination of ba sic courses\, hands-on sessions\, conferences on principles and on applica tions\, round-tables and discussions. Two parallel tracks of hands-on sess ion will be proposed\, depending on the level of skills in basic programmi ng and in mathematics and statistics. This is meant to give everyone an op portunity to get an entry point to basic understanding and practical manip ulations in machine learning and AI in research today. Prerequisites: kno wledge of scripting in Python. Some acquaintance with biological and/or he alth related sciences (applicants can come from a math\, stat or computer science background\, but they should then either have at least some course s related to biology and/or health in their current training programs\, or should be involved in at least some research activities related to biolog y and/or health).  Eligibility: All MSc\, PhD students\, post-docs\, per manent members are eligible. A priority will be given to MSc and PhD stude nts of the masters\, doctoral schools and laboratories associated with the DigitBioMed initiative. For more information about DigitBioMed\, its prog rams and its member labs: https://graduate-plus.fr/digital-sciences-forbio logy-and-health/ Registration: Registration is free but mandatory. Deadli ne March 13\, 2026.  Programme Tuesday\, March 31\, 2026 Polytech 13. 00 - 14.00: Welcome 14.00 - 15.00: Course 1 - Philippe Veber - Introducti on and general principles15.00 - 15.30: Coffee break 15.30 - 18.00: Hands -on session Wednesday\, April 1\, 2026 Polytech 09:00 - 10:00: Course 2 - Stefan Duffner - Neural architectures10:00 - 10:30: Coffee break10:30 - 13:00: Hands-on session 13:00 - 14:00: Lunch 14:00 - 15:00: Course 3 - Nicolas Lartillot - Transformers and foundation models15:00 - 15:30: Coffe e break15.30 - 18.00: Hands-on session  Thursday\, April 2\, 2026 Polyt ech 09:00 - 9:30: Conference - Romain Déleat Besson\, CREATIS\, INSA Uni versité Lyon 1Generation of Synthetic Cardiac MR Images to Enhance Popula tion Diversity and Improve Under-Represented Characteristics  09:30 - 10 :00: Coffee break10:00 - 13:00: Hands-on session 13:00 - 14:00: Lunch 14 :00 - 15:00: Conference - Élodie Laine\, CQSB\, IBPS\, Sorbonne Universit éProtein Language Models: Principles and Applications to Mutations and Pr otein Dynamics 15:00 - 15:30: Coffee break15.30 - 18.00: Hands-on session  18:00 - 19:00: Cocktail Friday\, April 3\, 2026 Amphi Gouy\, Lippman b uilding09:00 - 10:00: Conference - Stéphane Chrétien. ERIC\, Université Lyon 2SigBERT: Combining Narrative Medical Reports and Rough Path Signatu re Theory for Survival Risk Estimation in OncologyNautibus building10:00 - 10:30: Coffee break10.30 - 13.00 Parallel hands-on sessions: applications  TP1 -  Protein language models and their application to protein structu re prediction - Nicolas Lartillot TP2 - The autoencoder - Stefan DuffnerT P3 - Penalized splines for flexible modelling and anaalyis of survival in cancer patients - Mathieu Fauvernier and Pascal Roy 13:00 - 14:00: Lunch  Amphi Jordan\, Braconnier building14:00 - 15:00: Conference - Ernest Mor dret\, Institut Pasteur\, ParisProtein and genomic language models uncover the unexplored diversity of bacterial immunityNautibus building15:00 - 15 :30: Coffee break15.30 - 18.00: Parallel hands-on sessions: applications  TP1 -  Predicting functional annotations of protein coding genes - Nicola s Lartillot TP2 - The autoencoder - Stefan DuffnerTP3 -  Deep-learning a pproach to modelling and analysis of survival in cancer patients - Philipp e Veber   Speakers and teaching staff Speakers: Romain Déleat Besson \, Post Doc\, CREATIS\, INSA Université Lyon 1 Élodie Laine\, Full Prof essor in Computational Biology and Artificial Intelligence. CQSB\, IBPS\, Sorbonne Universitéhttps://www.lcqb.upmc.fr/laine/ Stéphane Chrétien.\ , Full Professor\,  ERIC\, Université Lyon 2https://sites.google.com/sit e/stephanegchretien/home Ernest Mordret\, Post Doc\, Institut Pasteur\, P arishttps://research.pasteur.fr/fr/member/ernest-mordret/ Teaching staff:  Julien Barnier\, Stefan Duffner\, Gaspard DussertMathieu Fauvernier\,  Laurent JacobNicolas Lartillot\, Pascal Roy\,Philippe Veber\, Scientif ic committee: Julien Barnier\, Laboratoire de Biométrie et Biologie Évo lutive\, Université Claude Bernard Lyon 1\, CNRS.Stefan Duffner\, Laborat oire d'InfoRmatique en Image et Systèmes d'information\, INSA LyonGaspard Dussert\, Laboratoire de Biométrie et Biologie Évolutive\, Université Claude Bernard Lyon 1\, CNRSNicolas Lartillot\, Laboratoire de Biométrie et Biologie Évolutive\, Université Claude Bernard Lyon 1\, CNRS.Pascal R oy\, Laboratoire de Biométrie et Biologie Évolutive\, Université Claude Bernard Lyon 1\, Hospices Civils de LyonPhilippe Veber\, Laboratoire de B iométrie et Biologie Évolutive\, Université Claude Bernard Lyon 1\, CNR S   \n\nhttps://indico.engineering.univ-lyon1.fr/event/29/ LOCATION:Polytech Lyon URL:https://indico.engineering.univ-lyon1.fr/event/29/ END:VEVENT END:VCALENDAR