Supplement: A multimodal multi-task model integrating scalp imaging, lipidomics, and microbiome data for scalp condition and social stigma: an algorithm development and validation study across multi-ethnic cohorts

Published: 2 June 2026| Version 2 | DOI: 10.17632/3vhjxdfvt9.2
Contributor:
Taelim Choi

Description

This supplementary file accompanies the article entitled "A multimodal multi-task model integrating scalp imaging, lipidomics, and microbiome data for scalp condition and social stigma: an algorithm development and validation study across multi-ethnic cohorts". The supplementary materials include detailed methodological descriptions, model architecture, additional performance results, SHAP interpretability analyses, participant characteristics, and supplementary figures and tables supporting the main findings. These materials are provided to facilitate transparency, reproducibility, and interpretation of the study results.

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Categories

Microbiome, Lipidomics, Scalp, Deep Learning

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