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PREZODE - Preventing Zoonotic Disease Emergence
Pour préparer la France à faire face à une nouvelle crise sanitaire majeure, le Gouvernement a lancé une stratégie nationale d'accélération "Maladies Infectieuses émergentes (MIE) et Menaces Nucléaires, radiologiques, biologiques et chimiques (NRBC)" inscrite dans le volet Santé Innovation 2030 de F
France 2030 : 2 nouveaux lauréats pour le programme de recherche "prezode" pour développer des stratégies de prévention face à l’émergence de maladies zoonotiques
Lancée depuis quatre ans, la stratégie « Maladies infectieuses émergentes (MIE) et menaces NRBC (nucléaire, radiologique, biologique et chimique) », coordonnée par l’Agence de l’innovation en santé dans le cadre du plan France 2030, a pour objectif de renforcer une préparation de la France face aux
Missions
The French National Research Agency (ANR) is a public administrative institution under the authority of the French Ministry of Higher Education, Research and Innovation. The agency funds project-based research carried out by public operators cooperating with each other or with private companies.
Astroglial Kir4.1 ion channel deficit drives chronic migraine – KirMig
Migraine is the most debilitating of all neurological disorders, imposing significant societal costs. The majority of its clinical, financial, and emotional burden stems from chronic migraine. A key driver of migraine chronicity is central sensitization, which involves the heightened activity of neu
Chemical contaminant vectorization by microplastics during food waste recycling: the case study of insect-based bioconversion – VECTOR
Microplastics are ubiquitous in the environment, giving rise to major concern because of their various adverse effects on living organisms, including humans. Indeed, microplastics have the capacity to vector various harmful adsorbed chemical contaminants, whether additives introduced during plastics
Gestural Speech Perception: learning to perceive speech by integrating gestural priors with deep learning – GeSPer
The overall objective of this trans-disciplinary project is to improve both our understanding of how humans learn to perceive speech and our ability to build machines that can perceive speech. This will be achieved in three steps. First, we will leverage modern machine learning techniques to caref
Development of Inhibitors of the Nuclear Receptor DAF-12 to treat parasitic diseases – DIN-R
The global prevalence of nematode infections in humans and animals causes severe diseases and agricultural losses, posing substantial health and economic challenges. Current treatments are based on anthelmintic drugs, whose effectiveness is increasingly compromised by the emergence of drug resistanc
Hierarchical Growth of Fluorescent NanoStructures in Live Cells – HiOF
The programmable bottom-up growth of bioactive artificial nanostructures in live cells, which can be visualized and tracked in real-time, is a tremendous modern challenge which requires to master a) the hierarchical self-assembly processes across scales, b) the specific targeting in complex environm
Testing the Social Tolerance Hypothesis for Cultural Evolution in Primates – MacTolerance
Humans are not the only cultural species as key examples of animal traditions have been described, notably in non-human primates. Among monkeys, numerous social conventions, extractive foraging techniques and manipulation behaviours, relying on social learning, have been reported. The complexity and
Timing of meal and sleep and cancer risk: mediation by metabolic dysregulation, inflammation and oxidative stress – TICTOC
Cancer development is multifaceted, involving metabolic dysregulation, oxidative stress, and inflammation. Modern lifestyles, characterized by long working hours and a perceived lack of time, have contributed to unintentional widespread changes in eating patterns, including late-night eating, irregu
