ENDOMIC Research Team

ENDOMIC (ENDOtyper les Maladies Inflammatoires Chroniques) specializes in precision medicine approaches using health data and artificial intelligence, contributing to the dynamics of our academic site within the France 2030 Excellence Initiative, which includes the University of Lille, Lille University Hospital, INSERM and INRIA. ENDOMIC is hosted by INFINITE (Institute for Translational Research in Inflammation) (Inserm U1286, University of Lille, CHU Lille).

Our team is also involved in an AI and Health Chair (ARCHIE) in partnership with KU Leuven and leads the HORIZON Marie Skłodowska-Curie Actions (MSCA) Thunder project.

Credit for image: @UFR3S-COMMUNICATION

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Members

Permanent Members

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Pr. Zaineb GARCIA

Professor in AI and Computer Science

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Pr. Vincent SOBANSKI

Professor in Internal Medicine

Team Members

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Dr. Adán JOSÉ-GARCÍA

Research Scientist in Machine Learning & Digital Health

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Dr. Solange VIVIER

Postdoc in Biology

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Dr. Aurélien CHÉPY

Head of clinic in Internal Medicine, Researcher in Immunology

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Lucile GUILBERT

Laboratory technician

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Clément CHAUVET

PhD Student in Data Science

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Marie MISTRETTA

Study Engineer in Biology

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Maxime SECQ

Study Engineer in Biology

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Kilian DEBRAUX

PhD Student in Data Science

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Marie-Elise MARTEL

Internal Medicine resident, PhD Student in Immunology

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Julien SOTTIAUX

PhD Student in Bioinformatics

Former Members

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Dr. Louisa BOUREL

2021 - 2024 : PharmD Candidate, PhD Student in Immunology

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Gabriel Warde

2024 : Student in AI internship

Talks and News

Within the ENDOMIC-AI project, we are preparing the recruitment of a senior researcher through a Junior Professor Chair (CPJ) at the Inria Centre at the University of Lille.

We participated in the AI in Health Symposium with the Katholieke Universiteit Leuven and the Université Catholique de Louvain.

ENDOMIC was invited to participate in a national summit on AI, organized by the Haut-de-France region under the wing of the french presidency.

Projects

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Thunder

The overall objective of the THUNDER project is to forge a comprehensive framework for trustworthy and responsible generative AI in healthcare

Systemic Sclerosis

Systemic sclerosis (SSc) is a rheumatological disease belonging to the group of connective tissue diseases.

Omics

Using an integrative multi-omics analysis, we suggested that anti-nuclear antibodies could be a relevant tool for endotype definition.

Supervised & Unsupervised Machine Learning

Machine learning algorithms find natural patterns in data that generate insight and help to make better decisions and predictions.

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