Review on Non-Invasive Electromagnetic Approaches for Blood Glucose Monitoring Using Machine Learning

Abstract

This paper particularly explores the microwave technique, reviewing current research and its limitations in non-invasive blood glucose monitoring applications. It also examines how using artificial intelligence can make predicting blood sugar levels more precise. Combining machine learning with current technology could transform diabetes care, making it easier and more effective for patients worldwide.