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Artificial Intelligence for Multi-Scale Predictions in Infectious Health Emergencies – AIMPI
Timely detection of emerging diseases is essential for preventing widespread outbreaks, minimizing public health impacts, and assessing the effectiveness of interventions. This research program introduces an innovative mathematical framework that integrates cutting-edge artificial intelligence (AI)
Investigating the role of claudins in gastrointestinal cancer using Artificial Intelligence – CLAUD-IA
Claudins (CLDNs) are cell surface proteins essential for maintaining cell polarity and barrier integrity. Evidence from patient samples and preclinical models shows that CLDNs are overexpressed in solid tumors, playing a key role in cancer development and metastasis, making them valuable therapeutic
Generative aRgumentative Artificial InteLligence – GRAIL
The GRAIL project aims to study and develop novel, general purpose, generative argumentative AI models, applicable across diverse application domains. Our goal is to create a new generation of AI systems that learn to reason like humans using argumentative reasoning, unlike current generative AI sys
Fusion of imaging and text data for longitudinal stroke prediction and intervention – IMAGE-TEXT-AVC
This project aims to improve prediction and intervention in strokes by integrating medical imaging data and textual reports. It is based on a robust database, RELATE, which collects clinical and imaging information from patients treated for ischemic stroke at the CHU de Lyon. Since 2020, this databa
MonPsy&AI – MonPsyAI
The mental health challenge is, first and foremost, an organizational one. In a context marked by a shortage of professionals and fragmented care pathways, current practices and systems are overwhelmed and no longer meet the growing needs of the population. Despite being essential, the perspective o
OXYgenation during MOVEment – OXYMOVE
The OxyMove project aims to establish a Joint Laboratory between the EuroMov Digital Health in Motion research unit – a joint research unit of the University of Montpellier and IMT Mines Alès – and the innovative company Semaxone, specialized in the design of miniaturized physiological sensors and t
Optimizing Water Resources in Coastal Areas using Artificial Intelligence – AI4Water
This project focuses on utilizing Artificial intelligence (AI) optimization and prediction techniques for water management in (1) the Ras Jebel coastal area (RJC) in Tunisia; (2) the Coastal Constantinois and Seybouse basins (CCB&SB) in North-East of Algeria; (3) in the Capitanata coastal irrigation
GeoSpatial and Artificial intelligence technologies: InnovatiVE approach for water resources management – SAVE water
In many regions of the world, including the Mediterranean and European areas, water needs for irrigation and municipal use are expected to increase. Ensuring these growing needs, in thie context of climate change, constitutes a major challenge, especially in the Mediterranean area. The situation is
Traitement et Analyse de Données Agronomiques complexes pour un Conseil agricole augmenté – TADAC
The TADAC project aims to create intelligent digital tools to help the Crop Technical Advisers (CTA) make better decisions and support farmers in their transition to more sustainable, high-performance agriculture. The aim of the project is to transform the CTA profession by mobilising the latest adv
