21-22 nov. 2024 Paris (France)

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Semaine Jeu. 21 Ven. 22 Liste

jeudi 21 novembre 2024 ›

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

›9:30 (15min)

Ouverture des journées

9:30 - 9:45 (15min)

Ouverture des journées

›9:45 (45min)

Session invitée : Agathe Guilloux
Philippe Saint Pierre

9:45 - 10:30 (45min)

Session invitée : Agathe Guilloux

Philippe Saint Pierre

› Advances and pitfalls of AI for prognostic medicine - Agathe Guilloux, Health data- and model- driven Knowledge Acquisition 09:45-10:30 (45min)

›10:30 (30min)

Pause café

10:30 - 11:00 (30min)

Pause café

›11:00 (1h30)

Session 1.
Valérie Gares

11:00 - 12:30 (1h30)

Session 1.

Valérie Gares

› Early morning immune checkpoint blockade and overall survival of patients with metastatic cancer: An In-depth chronotherapeutic study - 11:00-11:15 (15min)

› Estimation of causal effects of menopausal hormone replacement therapy on BMI and breast cancer risk - Lisa Braito, Università degli Studi di Firenze = University of Florence = Université de Florence 11:15-11:30 (15min)

› One-sample survival tests for non-proportional hazards in oncology clinical trials: a simulation study - Chloé Szurewsky, Centre de recherche en épidémiologie et santé des populations 11:30-11:45 (15min)

› Régression multibloc sur classes latentes. Application en épidémiologie vétérinaire. - Stéphanie Bougeard, Anses, Epidemiology, Health and Welfare, Laboratory of Ploufragan-Plouzané-Niort 11:45-12:00 (15min)

› Représentations numériques de codes médicaux dans un espace sémantique par factorisation de matrice d'information mutuelle - Corentin FAUJOUR, HeKA, Inserm, Université Paris Cité, CEMKA, Bourg La Reine 12:00-12:15 (15min)

› Variable selection methodology for illness-death models in complex observation patterns - Ariane Bercu, Bordeaux population health 12:15-12:30 (15min)

›12:30 (1h15)

Déjeuner

12:30 - 13:45 (1h15)

Déjeuner

›13:45 (45min)

session invitée : Sandrine Guilleminot et Estelle Lambert
Louise Baschet

13:45 - 14:30 (45min)

session invitée : Sandrine Guilleminot et Estelle Lambert

Louise Baschet

› Statistical Challenges at Servier - Sandrine Guilleminot, Servier - Estelle Lambert, Servier 13:45-14:30 (45min)

›14:30 (1h)

Session 2.
Louise Baschet

14:30 - 15:30 (1h)

Session 2.

Louise Baschet

› A new Mutual Information estimator for continuous censored variables - Ima Bernada, Bordeaux population health 14:30-14:45 (15min)

› Generative Models for Screening Genetic Mutations in Marfan Syndrome - Antonin Della Noce, MATHERIALS, Paris, CERMICS, École des Ponts, Marne-la-Vallée 14:45-15:00 (15min)

› Statistical analysis of matched survival data in national Heath databases - Vanessa Chezeu, Institut National des Sciences Appliquées - Rennes 15:00-15:15 (15min)

› U-DESPA: a Bayesian Utility-based approach for dose-regimen optimization relying on Dose-Exposure- Safety/Pharmacodynamics/Anti-tumor activity relationships modeling for oncology clinical trials - Marie-Karelle RIVIERE, Department of Statistical Methodology, Saryga 15:15-15:30 (15min)

›15:30 (30min)

Pause café

15:30 - 16:00 (30min)

Pause café

›16:00 (1h30)

Session 3.
Vittorio Perduca

16:00 - 17:30 (1h30)

Session 3.

Vittorio Perduca

› Deep learning approaches for handling longitudinal image data: Enhancing breast cancer prediction - Manel Rakez, Bordeaux population health 16:00-16:15 (15min)

› Enhancing single arm trials using external data as control - Camille Marian, Laboratoire Servier 16:15-16:30 (15min)

› Mesure de l'entropie perdue par le format HDV en radiothérapie. - Paul Michaux, Université de Technologie de Troyes, Groupe Hospitalier Mutualiste [Grenoble] 16:30-16:45 (15min)

› Modélisation de la communication entre les lymphocytes T et les cellules dendritiques - Lucie Brolon, Mathématiques Appliquées Paris 5 16:45-17:00 (15min)

› RNA Modification and Degradation Patterns in Yeast Under Nutrient Stress Using Autoencoders, Clustering, and Random Forest - Orlane Rossini, IMAG 17:00-17:15 (15min)

› Spectral structure learning for clinical time series - Ivan Lerner, Health data- and model- driven Knowledge Acquisition 17:15-17:30 (15min)

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