Novel Technologies in the Study of the Pathogenesis of Cardiac Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 1707
Special Issue Editors
Interests: hereditary cardiomyopathies; induced pluripotent stem cells; molecular biology; genetics and genomics; biomarkers
Special Issues, Collections and Topics in MDPI journals
Interests: genetics; animal models; cardiomyopathies; induced pluripotent stem cell derived cardiomyocytes; transcriptomics; molecular pathways
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Despite advancements in research and clinical management, cardiovascular diseases (CVDs) are still the number one cause of mortality globally.
Recently, our knowledge about etiopathogenetic mechanisms in CVDs has dramatically benefited from advances in ‘-omics’ technologies, including whole genome, transcriptomics (bulk, single nucleus-, and spatial RNA sequencing), epigenomics, metabolomics, and proteomics. Combining artificial intelligence (AI) and machine learning (ML) technologies have been used to gain valuable information about the mechanisms that cause disease and to better diagnose and determine outcomes for individual patients.
Novel in vitro methodologies, exemplified by human-induced pluripotent stem cells (iPSCs), organoids, and microphysiological systems (MPSs), as well as in silico tools like artificial intelligence (AI), have allowed the emerging concept of ‘clinical trials in a dish’, which accelerates drug discovery and design, thereby facilitating precision medicine for cardiovascular disease. For example, large-scale iPSC lines from healthy and patient cohorts are cultured in 3D systems, making it easier to explore detailed mechanisms including cellular metabolism, gene regulation, and protein interactions.
Prof. Dr. Raffaella Lombardi
Dr. Suet Nee Chen
Guest Editors
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Keywords
- artificial Intelligence
- multi-omics
- organoids
- engineered heart tissue
- advanced imaging
- personalized medicine
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