Precision Medicine in Hypertension and Cardiovascular Diseases
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 118
Special Issue Editors
Interests: hypertension essential; pulmonary vascular disease; heart failure; biomarkers
Special Issue Information
Dear Colleagues,
Precision medicine, within the context of hypertension and cardiovascular diseases, represents a personalized approach to prevention, diagnosis, and treatment. This approach moves away from the traditional one-size-fits-all method and instead focuses on individual variability in genes, environment, and lifestyle. In the realm of precision medicine, medications that are more likely to be effective based on genetic makeup can be selected. For example, pharmacogenomics can help determine which blood pressure medications a patient will metabolize effectively, reducing trial and error and minimizing side effects. Precision medicine also encompasses a broader understanding of how lifestyle and environmental factors interact. This holistic view allows for more nuanced recommendations tailored to individual circumstances. Advancements in technology, such as wearable devices and mobile health apps, facilitate continuous monitoring of vital signs and health behaviors in real time. These data, integrated with electronic health records and genetic information, provide a comprehensive view of a patient’s health status. Despite its great potential, precision medicine faces challenges and the need for extensive research to validate genetic associations and treatment efficacy. The future of precision medicine in hypertension and cardiovascular care will likely depend on overcoming these hurdles, enhancing data integration, and ensuring equitable access to these innovative treatments.
Dr. Andreea Varga
Prof. Dr. Ioan Țilea
Guest Editors
Manuscript Submission Information
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Keywords
- hypertension
- cardiovascular disease
- pulmonary hypertension
- personalized treatment plans
- genetic insights
- lifestyle and environmental factors
- technology and data integration
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