Technological innovations in wearable sensors and point-of-care testing systems integrated with AI offer promising avenues for real-time cardiovascular disease monitoring and personalized medicine.
Cardiovascular diseases (CVDs) persist as the foremost cause of global mortality, necessitating advancements in diagnostic and monitoring technologies to enable timely intervention and effective management. This review synthesizes recent technological innovations in rapid testing for CVDs, emphasizing the development and integration of wearable sensors, and point-of-care (POC) testing systems. Wearable sensors, including advanced electrocardiogram (ECG) monitors, photoplethysmography (PPG) devices, and continuous glucose monitors (CGMs), leverage novel materials to facilitate continuous, real-time physiological monitoring. POC testing systems, integrate microfluidics with CRISPR-based diagnostic platforms and artificial intelligence (AI)-driven analytics to deliver rapid, on-site biomarker detection and real-time data interpretation. Advanced signal processing and machine learning algorithms, underpin these technologies by enhancing data fidelity, extracting pertinent features, and enabling predictive analytics for proactive cardiovascular risk management. Despite significant progress, challenges such as signal integrity, power management, data security, and regulatory compliance persist. Future directions highlight the potential of personalized medicine and interdisciplinary collaborations to further refine and implement these rapid testing innovations, ultimately advancing cardiovascular healthcare outcomes.
Ahmad et al. (Fri,) studied this question.