1Professor, Department of Information Technology, V.S.B. Engineering College, Karur, Tamilnadu, India
Email: mary.vsbec@gmail.com
2Assistant Professor, Department of Electronics & Communication Engineering, SJB Institute of Technology, Bangalore, Karnataka, India
Email: darshan156@gmail.com
3Assistant Professor, Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, India
Email: kcpmechcvrce@gmail.com
4Assistant Professor, Veltech High Tech Dr Rangarajan Dr Sakunthala Engineering College, Avadi, Chennai, India
Email: ivelu00@gmail.com
5Associate Professor, Sasi Institute of Technology and Engineering, Tadepalligudem, West Godavari Dt., Andhra Pradesh, India
Email: antromeda@gmail.com
6Assistant Professor, Bapatla Engineering College, Bapatla, India
Email: nathanisrinivasarao@gmail.com
The paper provides the design and development of an automated drug delivery wearable Internet of Things (IoT) device, which uses adaptive machine learning models to achieve optimal drug dosages based on real-time patient data. The wearable device carries sensors that detect all the vital health parameters, including blood glucose levels, heart rate and other biomarkers that are specific to the given condition. The adaptive machine learning models process the received data and constantly modify the drug delivery procedure to provide a patient-specific treatment that is accurate. They use reinforcement learning algorithms to optimize the dosage and timing dynamically to enhance the effectiveness of drug administration as a whole. The patient is automatically provided with the necessary medication delivered by a micro-pump controlled by the device, which reacts to the dynamism of the health condition of the patient. The suggested solution can improve the medical treatment process by offering a more specific, better-targeted system of drug delivery, minimizing the factor of human error, and increasing adherence to treatment. This IoT-powered technology would play a key role in enhancing personalized medicine, especially in the treatment of chronic illnesses that have been associated with active and flexible provision of medication.
Keywords: Wearable IoT, Adaptive Machine Learning, Automated Drug Delivery, Personalized Medicine, Reinforcement Learning, Real-time Health Monitoring, Chronic Condition Management, Precision Drug Administration.
How to cite this article: Mary PA, Darshan BD, Patra KC, Velmurugan S, Jose JJ, Nathani S. Wearable IoT Device for Automated Drug Delivery Using Adaptive Machine Learning Models. Int J Drug Deliv Technol. 2026;16(6s): 716-724; DOI: 10.25258/ijddt.16.6s.98
Source of support: None
Conflict of interest: None