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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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AI-Enabled Intelligent Drug Delivery Systems Based on Microfluidic Platforms for Precision Therapeutics

Vaishnavi S
IV Year students, Department of IT, New Prince Shri Bhavani College of Engineering and Technology, , India.
Shrikant D Rathod
Asst. Professor, Department of Computer Science, Rajarambapu Institute of Technology, India.
Sethuraman E
PG student, Department of MCA, New Prince Shri Bhavani College of Engineering and Technology, India.

Keywords: AI-enabled drug delivery, microfluidics, precision therapeutics, adaptive control, federated learning, explainable AI, real-time biosensing, lab-on-chip.

Abstract

The integration of artificial intelligence (AI) with microfluidic drug delivery systems offers transformative potential for precision therapeutics. This research presents a novel AI-enabled intelligent drug delivery framework that addresses existing limitations in adaptability, scalability, data diversity, and clinical applicability. The proposed system leverages real-time biosensing and adaptive AI algorithms to dynamically modulate drug dosage in response to patient-specific physiological feedback, thereby optimizing therapeutic outcomes. Advanced fabrication techniques, including lab-on-PCB and 3D microprinting, facilitate scalable, cost-effective manufacturing suitable for widespread deployment. Incorporating federated learning across decentralized healthcare institutions ensures access to diverse, privacy-preserved datasets for robust AI model training. Lightweight edge AI models enable energy-efficient, portable, and potentially implantable devices for continuous drug administration. Furthermore, the integration of explainable AI (XAI) modules enhances clinician trust by providing transparent, interpretable dosing decisions. Experimental evaluations demonstrated over 50% improvement in dosing accuracy, reduced AI adaptation latency to less than 2 seconds, and a 30% reduction in adverse events across multiple therapeutic applications. A comprehensive clinical validation pathway is outlined to ensure regulatory readiness and real-world applicability. This research contributes a fully integrated, adaptive, and explainable intelligent drug delivery system that advances the state-of-the-art in personalized healthcare.
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Published
2025-03-24
Pages
1-13
Issue
Vol. 4 No. 1 (2025): IJRTTE - 04 - 01
Section
Articles

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