Interpretable Machine Learning in Heavy Metal-Associated Cardiovascular and Metabolic Disease: A Review of Current Methodologies, Toxicological Insights, and Clinical Implications

Cardiovascular Toxicology 2026

View at publisher
Authors: Ahmed Farid Gadelmawla, Amal A. Alsubaiei, Najat Y. AlSejari, Mohanad A. Alkuwaiti, Bayan Mahafdah, Hamza A Abdul-Hafez, Ahmed Elmorsy Mohamed, Ahmed W. Hageen, Abdullah M Alharran, Giuseppe Andò, Wilbert S. Aronow
DOI: 10.1007/s12012-026-10142-7
Cited by: 1
References: 69

Fields of Study & Subjects

Heavy Metal Exposure and Toxicity Computational Drug Discovery Methods Machine Learning in Bioinformatics

Publication details

Journal / source
Cardiovascular Toxicology
Publisher
Springer Science and Business Media LLC
Volume
26
Issue
6
Publication date
1 June 2026
Language
EN