Work

Artificial Intelligence and Machine Learning Approaches for Cardiovascular Genomics: A State-of-the-Art Review

Year: 2026

Type: article

Source: Circulation Genomic and Precision Medicine

DOI: 10.1161/circgen.125.005447

Authors: Federica De Paoli, Giovanna Nicora, Kristian Galanti, Corinthia S. Gonzales, Francesca Mangili, Damian Smedley, Raja Appuswamy, Yuka Imamura Kawasawa, Virend K. Somers, Ivan Limongelli, Mohamad AlKhayat, Bing Si, Fabrizio Ricci, Susanna Zucca, C. Anwar A. Chahal

Institutions: University of Pavia, University of Chieti-Pescara, WellSpan Health, Policlinico Casilino, WellSpan York Hospital, Rush University, University of Applied Sciences and Arts of Southern Switzerland, Dalle Molle Institute for Artificial Intelligence Research, Università della Svizzera italiana, Queen Mary University of London, William Harvey Research Institute, EURECOM, Mayo Clinic, Arizona State University, Ospedale SS. Annunziata, St Bartholomew's Hospital

Language: English

Topic: Genomics and Rare Diseases

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7203687591

FWCI:

Cites: 109

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