Search for a funded project
Prediction of cerebral injury secondary to endovascular recanalization of acute ischemic stroke – PRECISE-STROKE
Acute Brain Infarction complicating large vessel occlusion (LVO-AIS) are one of the first causes of neurological dependency and death in Europe. Their incidence is expected to increase by 20% in the next 10 years. Endovascular recanalisation (EVT) has revolutionized their management. It was initiall
Seeing the EpileptogenIc Zone through machine learning on strUctuRal, functional and clinical nEurological data – SEIZURE
Epilepsy is resistant to antiepileptic drugs for 30% of patients. For those patients, surgical resection of the brain epileptogenic zone (EZ) is the best option. No biomarker allows to perfectly detect the EZ and surgical outcome is not a trivial task. Recent progress in statistical image processing
CITADEL: PrivaCy and bIas mitigation in federaTed leArning for Digital hEaLth – CITADEL
Federated learning (FL) is a promising paradigm that is gaining grip in the context of privacy-preserving machine learning for edge computing systems. Thanks to FL, several data owners called clients (e.g., organizations in cross-silo FL) can collaboratively train a model on their private data, wit
AI-Enhanced Monitoring Solutions for Anesthetized Patients – Anesth-IA
General anesthesia, although routine with 12 million cases annually in France and 300 million worldwide, presents challenges. 15-25% of patients undergo post-operative complications, increasing post-operative mortality, neurocognitive disorders, and burdening healthcare systems. Intra-operative hypo
Data Access, Transparency of Algorithms and (data subject) Rights – DATARights
Online platforms play a growing role in the circulation of information and in the production of power asymetries in surveillance capitalism. Accessing the data that is necessary to study them is, however, no easy task, given that these platforms often function as closed black-boxes. Several recent s
Studying the Anonymization of Publications in Social Sciences – ETAPSS
The project will study the forms and impact of confidentiality and anonymity preservation standards on the ways of writing research in social science journals in France. It will examine how various disciplinary communities manage a notorious contradictory injunction, although little systematically s
Deep learning for automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
Aquatic ecosystems are facing many anthropogenic pressures, highlighting the urgent need for developing innovative ecological diagnostic tools supporting the selection of robust management responses. Current diagnostic tools are able to estimate the ecological status from taxonomy-based (i.e. list o
Accounting for the water interconnectedness within Mediterranean catchments under water shortage crisis and global changes – AQUEDUCT
Agriculture, both rainfed and irrigated, along with forest cover, emerges as the sectors using the most water in many Mediterranean countries. To address drought and water scarcity in Mediterranean catchments, one solution is to manage water demand and use by crop and forest covers. This entails: i
Macrophysiological system to improve the understanding of the action mechanisms of intra-articular therapeutics on joint tissues – MaPSJoint
There is no treatment to reverse the osteoarthritis (OA) physio-pathological process. One therapeutic option in the following years could focus on the intra-articular space to limit (1) the side effects, (2) the drug interaction, and (3) to increase therapeutic efficacy. For this, the development of
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
