Article

An AI-Integrated Framework for Precision Genomics in Coronary Artery Disease Using Whole Exome and Phenotypic Data

2026-01-30

Abstract excerpt

Coronary artery disease (CAD) is a multifactorial condition influenced by genetic, phenotypic, and environmental factors. Traditional risk prediction models fall short in capturing the polygenic complexity of CAD, particularly in underrepresented populations. This study presents SIGMA (Scoring Importance of Genes specific to disease using Machine learning Algorithms), a novel AI-powered framework that enhances CAD...

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Literature Corpus work: f825d21d-2d54-5959-9dab-21b9f73e4977
DOI: 10.64898/2026.01.28.26345099

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