Precision Medicine in Cardiovascular Disease: Current Trends and Future Directions
Keywords:
Precision medicine, cardiovascular disease, genomics, proteomics, metabolomics, risk stratification, personalized therapy, big data analytics, artificial intelligence, clinical implementationAbstract
Precision medicine has emerged as a promising approach in the management of cardiovascular diseases (CVDs), aiming to tailor treatments based on individual genetic, environmental, and lifestyle factors. This paper provides an overview of the current trends and future directions of precision medicine in CVDs. It discusses the role of genomic, proteomic, and metabolomic profiling in risk stratification, diagnosis, and treatment selection for various CVDs. Furthermore, it explores the integration of big data analytics and artificial intelligence in refining risk prediction models and identifying novel therapeutic targets. Challenges such as data privacy, standardization, and implementation into clinical practice are also addressed. Finally, the paper outlines future directions for research and clinical application of precision medicine in CVDs.