Health AI Central
Peer-Reviewed Publication
JID Innov2026;6(5):100513.September 1, 2026Journal Article

Current research landscape and future prospects of in silico modeling approaches for atopic dermatitis.

Hiu Lam Athena Wu1, Pierre Le Floch1,2,3, Ariane Duverdier1,2,3, Alan D Irvine4, Sandrine Dubrac5, Reiko J Tanaka1
1Department of Bioengineering, Imperial College London, London, United Kingdom.
2Department of Computing, Imperial College London, London, United Kingdom.
3UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare, Imperial College London, London, United Kingdom.
4Clinical Medicine, Trinity College Dublin, Dublin, Ireland.
5Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria.
PubMed PMC DOI PDF

Abstract

Atopic dermatitis (AD) is a chronic, multifactorial inflammatory skin disease with a complex, heterogeneous pathogenesis. Understanding its mechanisms, stratifying patients into biologically relevant endotypes, and predicting treatment responses remain challenging if we use empirical approaches alone. In silico approaches, including mathematical modeling, statistical and machine learning methods,…

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