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

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Publicado en:Biosensors vol. 15, no. 3 (2025), p. 191
Autor principal: Lin, Runxing
Otros Autores: Huang, Ziyu, Liu, Yu, Zhou, Yinning
Publicado:
MDPI AG
Materias:
Physiology
Accuracy
Mortality
Signal processing
Cardiovascular diseases
Electrocardiography
Chronic illnesses
Anticoagulants
Data integration
Drug therapy
Monitoring
Customization
Drug dosages
Patients
Data analysis
Drug efficacy
Cardiac arrhythmia
Sensors
Cardiovascular disease
Medical equipment
Multidimensional data
Algorithms
Heart
Integration
Enzymes
Social
Acceso en línea:Citation/Abstract
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Resumen:Cardiovascular diseases have long been a major challenge to human health, and the treatment differences caused by individual variability remain unresolved. In recent years, personalized cardiovascular drug therapy has attracted widespread attention. This paper reviews the strategies for achieving personalized cardiovascular drug therapy through traditional dynamic monitoring and multidimensional data integration and analysis. It focuses on key technologies for dynamic monitoring, dynamic monitoring based on individual differences, and multidimensional data integration and analysis. By systematically reviewing the relevant literature, the main challenges in current research and the proposed potential directions for future studies were summarized.
ISSN:2079-6374
DOI:10.3390/bios15030191
Fuente:Health & Medical Collection