Harnessing IoT and Machine Learning for Transformative Healthcare Solutions

Nikhil Kumar Marriwala, Shruti Jain, Vinod Kumar Shukla, Peter William · 2025

Healthcare proves transformed through the IoT and ML combination because this union enables proactive and personalized medical care. The research investigates ML integration possibilities with IoT-connected devices to strengthen data acquisition while operating more efficiently and running predictions and improving patient involvement. The paper addresses obstacles related to using standard centralized data learning systems on distributed Internet of Things information while presenting potential solutions. This document presents details about how ML performs analysis of healthcare data which includes both genetic sequences and wearable sensor information and medical pictures and electronic health records. The paper addresses both ethical considerations and legal aspects that stem from ML applications in healthcare settings. Healthcare benefits from IoT and ML developments to enhance both patient health results and operational resource utilization toward a future streaming medical system.

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