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Brain & Heart





                                        PERSPECTIVE ARTICLE
                                        The potential applications of artificial

                                        intelligence in biomarker discovery for
                                        cardiovascular diseases



                                        Kyriacos Felekkis 1,2   and Christos Papaneophytou *
                                                                                    1,2
                                        1 Department of Life Sciences, School of Life and Health Sciences, University of Nicosia, Nicosia,
                                        Cyprus
                                        2 Non-Coding RNA Research Laboratory, School of Life and Health Sciences, University of Nicosia,
                                        Nicosia, Cyprus



                                        Abstract

                                        Cardiovascular diseases (CVDs) are the leading global cause of early mortality and
                                        disability,  characterized  by  their  complex,  multifactorial  nature,  which  demands
                                        personalized diagnostic and therapeutic strategies. Current diagnostic methods
                                        for CVDs, while essential, have limitations in sensitivity, specificity, and real-time
                                        monitoring,  which  can  impede  early  and  accurate  disease  detection.  Biomarkers
                                        emerge as pivotal tools for the enhanced diagnosis and management of CVDs, yet the
                                        challenges in their discovery and validation persist. Integrating artificial intelligence
                                        with omics technologies promises to revolutionize this field by significantly
            *Corresponding author:      improving the precision and speed of biomarker discovery. This innovative approach,
            Christos Papaneophytou      merging the analysis of genetic variants with expression patterns linked to specific
            (papaneophytou.c@unic.ac.cy)
                                        phenotypes, holds the potential  to uncover novel biomarkers and facilitate the
            Citation: Felekkis K,       stratification of patient groups based on individual risk factors, thereby advancing
            Papaneophytou C. The potential
            applications of artificial intelligence   personalized medicine in cardiovascular care.
            in biomarker discovery for
            cardiovascular diseases. Brain &
            Heart. 2025;3(3):8442.      Keywords: Cardiovascular diseases; Biomarkers; Artificial intelligence; Omics
            doi: 10.36922/bh.8442       technologies; Diagnostic accuracy
            Received: January 8, 2025
            1st revised: February 13, 2025
            2nd revised: February 25, 2025  1. Introduction
            Accepted: February 27, 2025  Cardiovascular diseases (CVDs) are the leading cause of premature death and
            Published online: March 13, 2025  disability worldwide, contributing significantly to the global health burden. As non-
            Copyright: © 2025 Author(s).   communicable diseases, CVDs encompass a broad range of disorders affecting the heart
            This is an Open-Access article   and blood vessels, including coronary artery disease, cerebrovascular disease, venous
            distributed under the terms of the   thromboembolism, and peripheral vascular disease. The pathogenesis of most CVDs is
            Creative Commons Attribution
            License, permitting distribution,   atherosclerotic, which can lead to severe outcomes such as myocardial infarction, cardiac
            and reproduction in any medium,   arrhythmias, and strokes. Hyperlipidemia, hypertension, diabetes, obesity, smoking, and
            provided the original work is                                                    1
            properly cited.             lack of physical activity are well-recognized etiological risk factors.
            Publisher’s Note: AccScience   These conditions not only impact physical health but also affect emotional
            Publishing remains neutral with   well-being and impose significant economic burdens on individuals, families, and
            regard to jurisdictional claims in
            published maps and institutional   healthcare systems. The variety of mechanisms leading to CVDs – including structural
            affiliations.               abnormalities, blockages like coronary artery stenosis, and dysfunctions within the


            Volume 3 Issue 3 (2025)                         1                                doi: 10.36922/bh.8442
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