Author

Alexandre Boulat

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Jean‐Marie RaveliD· 1 shared Jérôme Audoux· 1 shared Jiri Ruzicka· 1 shared Julien ThévenoniD· 1 shared Kévin YauyiD· 1 shared Laure RaymondiD· 1 shared Laurent MesnardiD· 1 shared Marine Serveaux Dancer· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Jean‐Marie RavelORCID

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1 paper

Recent·Most cited

Clinical Evaluation of an AI System for Streamlined Variant Interpretation in Genetic Testing

Jiri Ruzicka, Jean‐Marie Ravel, Jérôme Audoux, Alexandre Boulat, Julien Thévenon, Kévin Yauy, Marine Serveaux Dancer, Laure Raymond, Yannis Lombardi, Nicolas Philippe, Michaël G. B. Blum, Nicolas Duforet-Frebourg, Laurent Mesnard

DiagAI, a machine-learning system, improves variant interpretation in genetic testing by prioritizing causal variants, outperforming existing tools with higher diagnostic yield and shorter variant shortlists.

Current Issues in Molecular Biology · Jul 11, 2026Peer-reviewedGenetic & Genomic Medicine