Machine and deep learning for longitudinal biomedical data: a review of methods and applications. - Anna Cascarano; Jordi Mur-Petit; Jerónimo Hernández-González; Marina Camacho; Nina de Toro Eadie; Polyxeni Gkontra; Marc Chadeau-Hyam; Jordi Vitrià; Karim Lekadir (Artif. Intell. Rev., 2023)

Cardiometabolic risk estimation using exposome data and machine learning. - Angélica Atehortúa; Polyxeni Gkontra; Marina Camacho; Oliver Díaz; Maria Bulgheroni; Valentina Simonetti; Marc Chadeau-Hyam; Janine F. Felix; Sylvain Sebert; Karim Lekadir (Int. J. Medical Informatics, 2023)

Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. - Esmeralda Ruiz Pujadas; Nay Aung; Liliana Szabo; Zahra Raisi-Estabragh; Marina Camacho; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir (MIUA (2), 2024)

A Structural Equation Model Linking Early-Life Stress to Adult Mental and Cardiovascular Disease. - Esmeralda Ruiz Pujadas; Anna Cascarano; Vien Ngoc Dang; Marina Camacho; Angélica Maria Atehortúa Labrador; Karim Lekadir (SIPAIM, 2024)