Work

Accelerated Biological Aging in Bipolar Disorder as Determined by Artificial Intelligence-Based Electrocardiographic Assessment

Year: 2026

Type: article

Source: Biological Psychiatry

DOI: 10.1016/j.biopsych.2026.03.125

Authors: Alessandro Miola, Betsy J. Medina-Inojosa, Alfredo B. Cuellar-Barboza, Miguel L. Prieto, Rob J. Morgan, Brandon J. Coombes, Marin Veldic, Aysegul Ozerdem, Balwinder Singh, Manuel Gardea-Reséndez, Mete Ercis, Laura Suarez Pardo, Francisco Romo-Nava, Susan L. McElroy, Joanna M. Biernacka, Kyla M. Lara-Breitinger, Jose R. Medina-Inojosa, Mark A. Frye, Francisco Lopez-Jimenez

Institutions: University of Padua, Mayo Clinic, Universidad Autónoma de Nuevo León, Universidad de Los Andes, Universidad de Los Andes, Universidad de Los Andes, Lindner Center of HOPE, University of Cincinnati, Emory University

Language: English

Topic: Bipolar Disorder and Treatment

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7155630823

FWCI:

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