Nicolas Garcelon, PhD

Nicolas Garcelon has an engineer degree in agronomy (2000) and a PhD in public health medical informatics (2017). Since 2012, he directs the data science platform of the Imagine Institute. His research is about medical informatics and artificial intelligence for rare diseases. He developed Dr. Warehouse®, a hospital data warehouse that allows physicians to visualize, mine and analyze patient data intuitively and efficiently. He co-created in 2017 the startup codoc.

Accelerating the re-use of hospital real world data for a learning healthcare system.

• Bibliography
• Researchgate
• ORCID
• Linkedin

Data Science Platform

The “data science” support team was created at the Imagine Institute in 2012, and has been labeled data science platform in 2017. The platform is made up of four IT engineers. The platform develops methods to accelerate translational research between doctors and researchers, between the hospital and the institute. We create software allowing the storage and analysis of patients’ phenotypic data.

Main publications:

• Next generation phenotyping for diagnosis and phenotype-genotype correlations in Kabuki syndrome, Scientific Report, 2024.
• The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials, Studies in Health Technology and Informatics, 2023.
• An automatic facial landmarking for children with rare diseases, American Journal of Medical Genetics, 2023.
• Using Deep Learning to Improve Phenotyping from Clinical Reports, Studies in Health Technology Informatics, 2022.
• A Multi-Omics Common Data Model for Primary Immunodeficiencies, Studies in Health Technology Informatics, 2022.
• Next generation phenotyping using narrative reports in a rare disease clinical data warehouse, Orphanet Journal of Rare Diseases, 2018.
• Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack. Journal of Biomedical Informatics, 2017.