Xavier Bailly

Marine flatworms as windows into the evolution of bilaterian neuropeptide signalling

Ryô Nakamura, Mayuko Hamada, Xavier Bailly, Hirotaka Sakamoto et autres

The evolutionary origin(s) of neuropeptide signalling is still largely unknown. It has been hypothesised that signal transmission via neuropeptides played a crucial role in the regulation of nervous systems in the bilaterian ancestor. Identification, expression and functional analyses of neuropeptides and their …

ie, fr, jp (code pays fourni par la source)

Simulation-based inference of epidemiological and phylodynamic models via neural posterior estimation

Francesco Pinotti, Julien Thézé, Xavier Bailly, Guillaume Fournié

Mathematical models play a central role in understanding and forecasting infectious disease dynamics, but parameter inference is often difficult when likelihoods are intractable. Simulation-based inference (SBI) circumvents this limitation by relying on model simulations. Traditional SBI methods, such as approximate Bayesian computation, …

fr, gb (code pays fourni par la source)

Supplementary Materials and Figures from Simulation-based inference of epidemiological and phylodynamic models via neural posterior estimation

Francesco Pinotti, Julien Thézé, Xavier Bailly, Guillaume Fournié

pinotti_supplementarymethods_ESM.pdf

Supplementary material from "Simulation-based inference of epidemiological and phylodynamic models via neural posterior estimation"

Francesco Pinotti, Julien Thézé, Xavier Bailly, Guillaume Fournié

Mathematical models play a central role in understanding and forecasting infectious disease dynamics, but parameter inference is often difficult when likelihoods are intractable. Simulation-based inference (SBI) circumvents this limitation by relying on model simulations. Traditional SBI methods, such as approximate Bayesian computation, …

Supplementary material from "Simulation-based inference of epidemiological and phylodynamic models via neural posterior estimation"

Francesco Pinotti, Julien Thézé, Xavier Bailly, Guillaume Fournié

Mathematical models play a central role in understanding and forecasting infectious disease dynamics, but parameter inference is often difficult when likelihoods are intractable. Simulation-based inference (SBI) circumvents this limitation by relying on model simulations. Traditional SBI methods, such as approximate Bayesian computation, …

Supplementary Materials and Figures from Simulation-based inference of epidemiological and phylodynamic models via neural posterior estimation

Francesco Pinotti, Julien Thézé, Xavier Bailly, Guillaume Fournié

pinotti_supplementarymethods_ESM.pdf

De l’importance de la production et de la mise à disposition des données pour apprécier l’efficacité de l’action publique

Xavier Bailly, André Pezziardi, Antonin Thyrard

La collecte et l’usage des données publiques progressent mais restent insuffisants pour répondre aux besoins croissants de l’évaluation, essentielle au débat démocratique et à la transparence. Plus que la quantité, c’est la qualité, l’accessibilité et l’exploitation des données qui posent problème. Le …

PREZODE: a global co-designed collaboration for preventing zoonotic emergence

Manon Lounnas, Ahidjo Ayouba, Xavier Bailly, Anne‐Laure Bañuls et autres

fr, cl, Kenya, gb, Madagascar, bd, Sénégal, de, th, Zimbabwe, it, us, mx, fi, vn, at (code pays fourni par la source)

Prévalence et diversité des agents de la Borréliose de Lyme dans les tiques et les rongeurs des espaces verts urbains et péri-urbains de la région Lyonnaise

Isabelle Lebert, Paul-Arthur Danjou, Maxime Rates, Julien Pradel et autres

Présentation non partagée

CiTIQUE2025_Readme.txt

Jonas Durand, Thierno-Madiou Bah, Isabelle Lebert, Clémence Galon et autres

Description of the project

fr (code pays fourni par la source)

Longitudinal analysis reveals transitions in pathogen profiles associated with mastitis in dairy cows

Hélène Lirot, Laurent Crespin, Patrick Gasqui, Séverine Barry et autres

Abstract Mastitis is a multifactorial infection of the udder potentially caused by many pathogens of varying severity and prevalence and it is one of the most common diseases on dairy farms. Limited information exists about the ecological interactions among pathogens in mastitis …

fr (code pays fourni par la source)

Longitudinal analysis reveals transitions in pathogens profiles associated with mastitis in dairy cows

Hélène Lirot, Laurent Crespin, Patrick Gasqui, Séverine Barry et autres

fr (code pays fourni par la source)