Article

System-level health profiling from blood DNA methylation with explainable deep learning

2025-10-14

Abstract excerpt

<h4>ABSTRACT</h4> Genome-scale DNA methylation (DNAm) profiles capture organismal physiology, but most predictive models lack transparency and multi-level applicability. Here we develop an explainable framework that quantifies respiratory, cardiovascular, and metabolic status as bounded health scores (0–1) derived from sex-specific clinical reference ranges and disease penalties, and then predicts these scores fr...

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Literature Corpus work: f4cbb34d-f36b-58cd-be80-eae38dba1b52
DOI: 10.1101/2025.10.13.681975

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