Machine learning-driven spleen imaging and genomics uncover a splenic connection to coronary artery disease.

doi:10.1126/scitranslmed.aeh2517

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Article

Machine learning-driven spleen imaging and genomics uncover a splenic connection to coronary artery disease.

Science translational medicine - 9 Sept 2026

Kamineni Meghana, Raghu Vineet, Hua Zhanqing, Tian Haodong, Truong Buu, Alaa Ahmed, Schuermans Art, Friedman Sam, Reeder Christopher, Bhattacharya Romit, Libby Peter, Ellinor Patrick T, Maddah Mahnaz, Philippakis Anthony, Hornsby Whitney, Yu Zhi, Natarajan Pradeep

Abstract excerpt

Despite advances in managing traditional risk factors, coronary artery disease (CAD) remains the leading cause of mortality. Circulating hematopoietic cells influence risk for CAD separately from traditional risk factors, but the role of a key regulating organ, the spleen, is unknown. The understudied spleen is a representation of the hematopoietic system optimally suited for unbiased radiologic investigations...

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Topics

Humans
Spleen
Coronary Artery Disease
Magnetic Resonance Imaging
Genomics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Machine Learning

Genome-Wide Association Study

Female

Male

Radiomics

Middle Aged

Polymorphism, Single Nucleotide

Aged

Source

Open in PubMed

Identifiers

PMID: 42715348
DOI: 10.1126/scitranslmed.aeh2517

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