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— 16e ICOR 2024 (première annonce)
— 5-8 mars 2024, Universidad de La Habana
(Dates à venir)
— Hypothesis Testing, Madalina Olteanu (U. Paris Dauphine-PSL)
— Détection de ruptures (statistiques), Alain Celisse (U. Paris 1)
— Signal processing & wavelets, Fabien Navarro (U. Paris 1)
— Martingales methods, Josué Corujo (UPEC)
— Introduction to stochastic calculus, Marelys Crespo (U. Toulouse)
— Functional Analysis and PDE, Otared Kavian (U. Versailles) & Suney Taste (INRIA Paris)
— PDEs in biology, Frank Alvarez (U. Paris Dauphine-PSL) & Claudia Fonte (U. Grenoble)
— Predicting treatment success in cancer immunotherapy: A causal inference approach - Lizet Sanchez Valdés, Centro de Inmunología Molecular
Some cancer immunotherapies lead to durable long-term survival in a small percentage of treated patients. Therefore, determining which patients will benefit most from treatment is a major challenge. This study uses a causal inference approach to evaluate predictors of the efficacy of cancer immunotherapies. First, a causal inference model is used to describe the relationship between pretreatment predictors and individual treatment effects. Subsequently, the causal predictive information metric (PCI) is introduced to quantify the information that pretreatment predictors convey about treatment effects. The methodology is applied to identify predictors of treatment success of the Cuban vaccine CIMAvax-EGF in advanced lung cancer. In addition, a two-component Weibull mixture survival model was used to estimate and compare the proportion of long-term survival between selected treated and control patients. Patients classified as good responders according to the selected causal model (PCI > 0.74) had a significantly longer observed survival time compared to the control group. The study underlines the potential of the methodology used for personalized medicine in cancer immunotherapy.
— Field experiments evaluating irradiated Aedes aegypti males for the Sterile Insect Technique - René Gato Armas, Intituto de Medicina Tropical Pedro Pedro Kourí
Dengue fever, a mosquito-borne viral disease, poses a significant public health threat. The sterile insect technique (SIT) is an environmentally friendly method for controlling mosquito populations, that promises to become an alternative to traditional management tools based on pesticides. Field experiments were conducted involving the open release of irradiated male Aedes aegypti mosquitoes in Havana, Cuba. Mark-release-recapture (MRR) trials showed an estimation of dispersion, survival, and mating competitiveness of the sterile mosquitoes under natural conditions, as well as the abundance of wild populations in the study area. The parameters for SIT implementation were set up based on MRR results. A pilot study assessed the efficacy of SIT under real-world conditions in a suburb of Havana, Cuba. The sterile mosquitoes induced a significant degree of sterility in the wild population, leading to a reduction in field populations by approximately 18 weeks. The experiments represent a strong piece of evidence to demonstrate the feasibility of SIT as a tool for Aedes aegypti control. The findings obtained open new perspectives for the development and optimization of this Aedes aegypti control strategy. Advanced studies are ongoing to evaluate the epidemiological impact of SIT on dengue incidence.
— Parametric estimation of the FitzHugh-Nagumo model via a concentration inequality - Claudia Fonte (INRIA de Grenoble)
— Méthodes et modèles phylogénétiques, applications aux données cubaines de VIH - Miraine Davila Felipe (UTC)
— Mariano Rodríguez Ricard (U. La Habana)
— Cristina Chavez Chong (ICIMAF)
— Gemayqzel Bouza Allende (U. La Habana)
— Limites d'échelle autour du graphe d'Erdös-Renyi - Josue Corujo Rodriguez (UPEC)
— Problèmes de temps moyen d'arrivée et applications dans le processus de libération du calcium induite par le calcium - Suney Toste (ENS)
