Ai-assisted Integrative Transcriptomic Analysis Supports Mechanistic Delineation Of Nodular And Extensive Keloid Subtypes With Therapeutic Implications
Kevin Serror 1,2,3*°, Lina Faik 4°, Thaïs Hennebelle 1,2, Xavier Sécheresse 4, Léa Nicosia 1,2, Pierre De La Grange 5, David Boccara 3, Marc Chaouat 3, Jean-David Bouaziz 1,2,6, Joël Belafa 4, Maxime Gobin 4, Antoine De Torcy 4, Florence Armstrong 4#, and Laurence Michel 1,2,6*
Article Type: Conference Abstract
BACKGROUND
Keloids are heterogeneous fibrotic skin disorders in which nodular and extensive forms differ in growth behavior, recurrence, and treatment response. While transcriptomic studies have identified subtype-specific signatures, the mechanistic architectures underlying these divergent phenotypes remain unresolved.
CONCLUSION
AI-assisted integrative transcriptomics transforms descriptive omics profiles into clinically actionable mechanistic insight, enabling precision stratification and mechanism-informed therapeutic targeting in keloid disease.
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