Vol. 4 No. 1 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

Developing Smart IoT-Enabled Drug Delivery Systems for Personalized Therapeutic Solutions: Designs IoT-based drug delivery systems capable of tailoring medication administration schedules and dosages to individual patient needs, advancing the field of personalized medicine

Dr. Priya Kapoor
Associate Professor of Healthcare Management, Indian Institute of Management Ahmedabad, India
Cover

Published 08-06-2024

Keywords

  • IoT,
  • smart drug delivery systems,
  • personalized medicine,
  • medication adherence,
  • dosage adjustment,
  • healthcare,
  • remote monitoring,
  • data collection,
  • treatment strategies
  • ...More
    Less

How to Cite

[1]
Dr. Priya Kapoor, “Developing Smart IoT-Enabled Drug Delivery Systems for Personalized Therapeutic Solutions: Designs IoT-based drug delivery systems capable of tailoring medication administration schedules and dosages to individual patient needs, advancing the field of personalized medicine”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 1, pp. 84–93, Jun. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/16

Abstract

The advent of IoT technologies has revolutionized healthcare, particularly in the realm of personalized medicine. This paper explores the design and implementation of IoT-enabled smart drug delivery systems for personalized medicine. These systems offer a novel approach to medication administration by leveraging IoT capabilities to tailor dosage regimens and schedules according to individual patient needs. By integrating IoT devices with drug delivery systems, healthcare providers can remotely monitor patient adherence, adjust dosages in real-time, and collect valuable data for personalized treatment strategies. This paper discusses the potential benefits, challenges, and future directions of IoT-enabled smart drug delivery systems in advancing personalized medicine.

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