REVIEW article
Front. Cardiovasc. Med.
Sec. Precision Cardiology
Precision medicine and personalized nursing in cardiovascular disease: Clinical applications and frontier developments
Provisionally accepted
He Xiaolan
You Guiying*- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
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Cardiovascular diseases (CVDs) continue to be the leading cause of mortality worldwide, and the available treatments are not sufficiently effective. The integration of precision medicine with personalized nursing offers a promising approach for early prevention, accurate diagnosis, treatment optimization, and prognosis assessment in CVD management. This review systematically analyzes recent advancements in multi-omics analysis and artificial intelligence (AI) technologies within the cardiovascular field, focusing on how precision medicine can improve the diagnostic and therapeutic accuracy as well as care efficiency, thereby improving clinical outcomes. For personalized nursing, we propose a novel implementation framework that incorporates physiological, psychological, social, and cultural dimensions, creating an integrated patient-centered management model based on comprehensive profiling. The synergistic integration of precision medicine and personalized nursing can yield a collaborative system that allows precise identification, individualized intervention, and comprehensive management, reflecting a paradigm shift toward patient-centered healthcare. In addition, the present analysis reveals existing challenges—including data privacy, ethical considerations, and cost-effectiveness—underscoring the urgent need for interdisciplinary collaboration and technological innovation to overcome these barriers. Therefore, the insights from this study are expected to guide the formulation of future research aimed at developing optimal clinical interventions to improve the prognosis and quality of life for patients with CVD.
Keywords: artificial intelligence, cardiovascular disease, Omics technology, personalized nursing, precision medicine
Received: 23 Apr 2025; Accepted: 16 Jan 2026.
Copyright: © 2026 Xiaolan and Guiying. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: You Guiying
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.