Cardiovascular disease (CVD) continues to be the world’s leading cause of death, presenting a significant challenge to global health systems. Traditional risk assessment tools, while useful for general populations, often lack the accuracy needed to predict and guide care for individual patients. This limitation has driven a shift toward personalized medicine, an approach that seeks to tailor prevention and treatment strategies to each person’s unique genetic, molecular, and lifestyle characteristics.
Advances in technology, including affordable genomic sequencing, multi-omics platforms, artificial intelligence (AI), and big data analytics, are revolutionizing the field. These innovations are unlocking a deeper understanding of CVD at the molecular level and enabling more precise approaches to risk prediction, diagnosis, and therapy.
Despite these developments, many clinical practices still rely on a “one-size-fits-all” model. There is a pressing need for research that helps move cardiovascular care toward individualized, proactive management.
This Research Topic welcomes submissions that explore progress and challenges in the journey toward personalized cardiology. We encourage contributions on: • The development, validation, and clinical utility of polygenic risk scores • Discovery and application of novel multi-omics biomarkers for diagnosis and risk stratification • Pharmacogenomic strategies for optimizing drug therapy (e.g., statins, antiplatelets) • Clinical application of artificial intelligence and machine learning in cardiovascular data interpretation • Emerging technologies such as gene editing (e.g., CRISPR-Cas9), single-cell genomics, and the use of Digital Twin patient models • Implementation science, ethical considerations, and strategies to ensure equitable access to precision medicine
We welcome a variety of article types, including Original Research, Reviews, and Perspective pieces.
Through this collection, our aim is to highlight scientific advances, real-world challenges, and novel solutions that are shaping the future of precision medicine in cardiology. By sharing diverse research and perspectives, we hope to foster innovation and collaboration that translates into improved, individualized care for patients with cardiovascular disease.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Classification
Clinical Trial
Community Case Study
Curriculum, Instruction, and Pedagogy
Editorial
FAIR² Data
General Commentary
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
