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Deep Learning Biosensor for Diabetes Detection by obidiran akorede is a document available to read on EtoBox.

The document discusses the design of a highly sensitive biosensor for synchronized identification of diabetes using deep learning, combining nanotechnology and electrochemical processes for accurate and rapid diagnosis. This biosensor can detect glucose levels in the blood with high precision and differentiate between types of diabetes, achieving significant accuracy metrics. The development aims to enhance diabetes management, reduce diagnostic costs, and improve accessibility for individuals requiring dia

Author
obidiran akorede
Language
EN