Introduction to Weak Supervision & Applications The recent digitization of patient health records and their collection, in a near real-time basis, in Clinical Data Warehouses (CDWs) offer new perspectives for […]
Le Limics porte un axe thématique qui concerne le Médicament. Cet axe utilise les approches d’ingénierie des connaissances et d’intelligence artificielle développées au Limics dans le cadre d’usage autour du […]
MAESTRO will be an integrated pipeline for biomarker discovery and gene expression analysis, combining advanced imaging technologies with spatial transcriptomics (ST) and artificial intelligence (AI). The system will be designed […]
Eduardo Fermé, full professor of computer science at the Universidade da Madeira in Portugal, is spending one month as a visiting researcher at Limics. He is internationally recognized for his […]
Title: Enhancing hematological image analysis with generalizable, interpretable, and adaptable AI models Lieu: Limics, Campus des Cordeliers, salle de conférence Mots-clés : Apprentissage profond,Leucocytes,Explicabilité,Généralisabilité,Classification,Semi-supervision Keywords: Deep Learning,White blood cells,Explainability,Generalisability,Classification,Semi-supervision Résumé : […]
Thomas Papastergiou est maître de conférence au LIPN, USPN. Ses recherches portent sur l’intelligence artificielle et recouvrent une série d’applications biomédicales allant du diagnostic à la conception de médicaments nouvellement […]
Titre: Symbolic AI in the era of LLMs Abstract: Recent spectacular advances in Artificial Intelligence (AI) focus strongly on the sub-area of AI known as machine learning. In this talk, […]
Title: « Refining risk stratification using CMR in patients with hypertrophic cardiomyopathy ». Abstract: Hypertrophic cardiomyopathy (HCM) is the most common genetic heart disease, characterized by ventricular hypertrophy, myocyte disarray, and interstitial […]