Analysis of Personalized Cardiovascular Drug Therapy: From Monitoring Technologies to Data Integration and Future...

Area of Science:

• Cardiology
• Pharmacogenomics
• Biomedical Engineering

Background:

• Cardiovascular diseases (CVDs) pose significant global health challenges.
• Individual variability in patient response complicates effective CVD treatment.
• Personalized medicine offers a promising approach to optimize cardiovascular drug therapy.

Purpose of the Study:

• To review strategies for personalized cardiovascular drug therapy.
• To examine dynamic monitoring and multidimensional data analysis techniques.
• To identify current challenges and future research directions in the field.

Main Methods:

• Systematic literature review of personalized cardiovascular drug therapy.
• Analysis of traditional dynamic monitoring technologies.
• Evaluation of multidimensional data integration and analysis approaches.

Main Results:

• Dynamic monitoring and data integration are key to personalized CVD treatment.
• Individual differences necessitate tailored monitoring and analysis strategies.
• Current research faces challenges in implementing these personalized approaches.

Conclusions:

• Personalized cardiovascular drug therapy requires advanced monitoring and data analysis.
• Future research should focus on overcoming implementation challenges.
• Tailoring treatments to individual variability is crucial for improving CVD outcomes.