LIMICS

LIMICS is an interdisciplinary research unit, specialized in computer science and medical informatics, funded by Inserm, Sorbonne University and Université Sorbonne Paris-Nord. LIMICS develops innovative approaches to health information processing on both methodological and application levels.

LIMICS is composed of researchers in computer science, as well as universitary physicians and pharmacists associated with services of the Greater Paris University Hospital (AP-HP), the university hospitals of Rouen and Saint-Étienne. This diversity within the same research unit allows multiple collaborations for the development and evaluation of research products.

Role of institution in the project

LIMICS will be involved in the WP2 (T2.2., T2.4., & T2.5) for the training material conception and the monitoring plan, the WP4 (T4.3) for the conception of the integration of the data annotation framework and the WP5 (T5.1, T5.2.1, T5.2.2 (leader of this subtask), T5.3.1, T5.3.4 & T5.4.2.) for the data federation and interoperability framework, the CDM, repositories, the hyperontology as well as data quality/cleaning and image annotation substask.

Xavier Tannier

Xavier Tannier is a Professor at Sorbonne Université and a researcher at LIMICS. His research interests include machine learning applications to health data, such as natural language processing (NLP), image classification and object detection, and other types of data like spectrometry and biological data. He teaches Computer Science at Polytech Sorbonne and is the manager of the master's program Applied Mathematics and Computer Science (MAIN). He has published several papers on topics related to NLP, image classification and object detection, and other areas of machine learning and health data. He has also supervised PhD students in the field of machine learning, natural language processing and computational biology. He has a proven track record of conducting research in the field of machine learning and health data and he is dedicated to improving patient outcomes through the use of AI in healthcare.

Dr. Catherine Duclos

Dr Catherine Duclos, PharmD, PhD, is a professor of medical informatics at Sorbonne Paris NordUniversity, member of LIMICS and is in charge of the medical information management and the clinical data warehouse coordination of the University Hospitals “Paris Seine Saint Denis” (Great Paris University Hospital (GPUH)). Key topics include medical and pharmaceutical knowledge representation, and medical decision systems. She conducted numerous studies published in international journals on modeling drug knowledge (indications, pharmacokinetics, pharmacodynamics of antibiotics, adverse effects) and their ontological formalization. She coordinated several national scientific projects (ANR, ANSM) and participated in several national or European projects related to drug safety, drug identification, therapeutic decision. She is at the origin with A. Venot and JB Lamy of the iconic language VCM that graphically expresses medical concepts and is used by software editors to summarize electronic health records, to graphically index medical content, to ease data entry. She is expert about drug databases and drug representation for Health Authorities.

Marie-Christine Jaulent

Marie-Christine Jaulent (F) is a research director at the French national medical research institute (INSERM) and Head of Limics. She has a PhD degree in computer sciences, option Artificial Intelligence, in 1986. Since 2002, she leads a 60 people-large public INSERM research team composed of computer scientists, physicians, pharmacists, linguists (UMRS1142 - LIMICS) working in knowledge engineering in healthcare. Her current research activities are in the fields of 1) terminologies and ontologies in healthcare, 2) semantic Electronic Healthcare Records, 3) clinical data warehouses and information quality, 4) decision support systems for e-health. She has been involved in several EU R&D projects where the LIMICS brought expertise in IT solutions for semantic interoperability between information systems in healthcare.

Ferdinand Dhombres

Ferdinand Dhombres is a practicing physician in obstetrics and gynecology at Armand Trousseau University Hospital (Sorbonne University, Paris, France) with a specialization in Fetal Medicine and Fetal Ultrasound. He received an MD from Descartes School of Medicine, Paris, France, in 2011, and a PhD in medical informatics from Pierre and Marie Curie University, Paris, France, in 2013 and Direction of Research Habilitation (HDR) in 2023 at Sorbonne University. He did a postdoc at the Lister Hill National Center for Biomedical Communications at the National Library of Medicine. Senior research at INSERM LIMICS, his research comprises knowledge representation in Medicine, symbolic artificial intelligence, and clinical decision support systems.

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