Séminaire Bernoulli Lab - Année universitaire 2022-23

Notre séminaire se tient une fois tous les deux mois, en présentiel uniquement, à l'Hôtel-Dieu (amphithéâtre Dupuytren, aile A1, RdC haut), le vendredi à 14h, et il est suivi d'un moment convivial. L'inscription préalable est recommandée, et vous pouvez vous abonner à notre newsletter pour recevoir toutes les infos à ce sujet.

Mihaela van der Schaar (Cambridge)

7 octobre 2022

Panning for insights in medicine: New frontiers in machine learning interpretability and discovery

Abstract: In this talk, I will describe my vision of how machine learning (ML) will catalyze a transformation in medicine and healthcare. Such a transformation is only possible if we can distill new and useful discoveries and insights on the basis of ML. I will describe a new discovery framework which enables us to achieve this. First, current ML interpretability has focused on explaining static predictions which is not sufficient in medicine. I will thus introduce new interpretability methods for explaining time-series predictions, clustering or heterogeneous treatment effects models made by black-box ML methods. Second, I will introduce SimplEx, a user-centered method that provides example-based explanations of ML methods with reference to a set of examples freely selected by the user, called the corpus. I will show how the freedom in choosing the corpus allows users to have personalized explanations in terms of examples that are meaningful for them. Finally, I will introduce Symbolic Metamodels and D-CODE, two methods that allow unravelling the underlying equations of medicine from data, enabling scientists to make new discoveries.

Laurence Watier (Inserm & Institut Pasteur)

16 décembre 2022

Résistance bactérienne et données de santé (en français)

Résumé: Sur une période de 20 ans, l’évolution de la règlementation, des bases de données de santé disponibles, de leurs écueils et des démarches pour y accéder sera présentée au travers de 3 programmes de recherches : PhiMAC – Impact des politiques de santé publique pour le contrôle des bactéries résistantes dans la communauté ; PhiBRA – Impact médico-économique de la résistance bactérienne aux antibiotiques et BactHub – Impact de l’exposition individuelle aux antibiotiques sur les bactériémies à bactéries résistantes.

Pierre Jannin (Inserm, LTSI Rennes)

3 février 2023

Surgical Skill Analysis with Surgical Data Science 

Abstract: With about 250 millions of surgical procedures worldwide per year, surgical quality is a crucial societal issue. Increasing surgical quality may occur through the whole perioperative process from diagnosis, strategy decision, planning, performance and post-operative evaluation, as well as through initial and continuous learning. Computer assistance is required at each step. In the presentation, I will present how such objectives can be addressed by studying and understanding surgical skills, following the surgical data science methodology. I will illustrate such approach by examples covering different aspects of surgical skills from technical to non-technical ones, such as the evaluation of surgical procedural skills, the development of a surgical simulation system for training procedural skills based on an interactive and collaborative virtual reality environment and the study of neurosurgical non-technical skills.

Marco Viceconti (Bologna)

7 avril 2023

Titre à venir

Abstract: A venir

Daniel Rueckert (TU Munich)

2 juin 2023

Titre à venir

Abstract: A venir