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Article

Integrative Machine Learning of Genetic and Lifestyle Factors for Personalized Skin Health.

IEEE journal of translational engineering in health and medicine - 1 Jan 2026

Benachour Yassine, Maloukh Lina, Geusens Barbara

Abstract excerpt

OBJECTIVE: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. METHODS AND PROCEDURES: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 41970945
DOI: 10.1109/JTEHM.2026.3675676
PMCID: PMC13068124

Genes

AQP3
FLG
SOD2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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