ENDOMIC Research Team

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

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Members

Team Leader

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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, PhD Student 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, Master’s degree student in Immunology

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

I went to the ECAI conference to present the latest team’s work on biclustering in systemic sclerosis

We had a great time meeting KU Leuven researchers Maarten de Vos, Celine Vens and their team.

Projects

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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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