Key result
Machine learning and polygenic risk scores refine risk prediction and prevention strategies in CAD.
This article discusses how machine learning and polygenic risk may improve coronary artery disease prediction, indicating new preventive strategies.
Journal Article Weekly Journal Scan: Machine learning, polygenic risk, and the next frontier in coronary artery disease prediction and prevention Get access Giovanna Liuzzo, Giovanna Liuzzo Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli—IRCCS, Largo A. Gemelli 8, Rome 00168, ItalyDepartment of Cardiovascular and Pulmonary Sciences, Catholic University, School of Medicine, Largo F. Vito 1, Rome 00168, Italy Corresponding author. Email: [email protected] https://orcid.org/0000-0002-5714-0907 Search for other works by this author on: Oxford Academic PubMed Google Scholar Daniela Pedicino Daniela Pedicino Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli—IRCCS, Largo A. Gemelli 8, Rome 00168, ItalyDepartment of Cardiovascular and Pulmonary Sciences, Catholic University, School of Medicine, Largo F. Vito 1, Rome 00168, Italy https://orcid.org/0000-0002-4218-3066 Search for other works by this author on: Oxford Academic PubMed Google Scholar European Heart Journal, ehaf701, https://doi.org/10.1093/eurheartj/ehaf701 Published: 03 October 2025
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Liuzzo et al. (2025) conducted a review in Coronary artery disease. Machine learning and polygenic risk was evaluated. This weekly journal scan discusses the role of machine learning and polygenic risk scores in the prediction and prevention of coronary artery disease.
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