Integrating Wearable Biosensors in Preventive Pharmacology: A New Horizon in Patient Monitoring

Rehan Haider*, Zameer Ahmed**, Sambreen Zameer***
* Department of Pharmacy, University of Karachi, Pakistan.
**-*** Department of Pathology, Dow University of Health Sciences, Karachi, Pakistan.
Periodicity:January - June'2025

Abstract

Preventive pharmacotherapy emphasizes the identification and reduction of illness risks prior to the onset of symptoms. The recent development of wearable biosensors has changed the technique by allowing constant, painless monitoring of biochemical and physiological parameters. This paper explores the integration of wearable biosensors into preventive pharmacology and their transformative potential for patient monitoring. Early detection of drug-related side effects, real-time monitoring of therapeutic effectiveness, and personalized dosage adjustments are among its key applications. The review emphasizes how artificial intelligence (AI), nanotechnology, and digital health ecosystems enable data-driven decision-making and precision pharmacology. Ethical concerns and implementation challenges are also discussed, along with future research directions for integrating biosensors into predictive healthcare systems.

Keywords

Wearable Biosensors, Preventive Pharmacology, Patient Monitoring, Artificial Intelligence, Personalized Medicine.

How to Cite this Article?

Haider, R., Ahmed, Z., and Zameer, S. (2025). Integrating Wearable Biosensors in Preventive Pharmacology: A New Horizon in Patient Monitoring. Dale View's Journal of Clinical Pharmacology and Pharmacotherapeutics, 2(1), 6-10.

References

[1]. Bashir, S., Ahanger, A. N., Assad, A., Bhat, M. R., & Macha, M. A. (2025). Artificial Intelligence in Cardiovascular Diseases. In Artificial Intelligence in Human Health and Diseases (pp. 171-203). Singapore: Springer Nature Singapore.
[14]. World Health Organization. (2023). Regulatory Considerations on Artificial Intelligence for Health. World Health Organization.
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