Smart Insulin Patch With AI Optimized Delivery

Effective diabetes management requires an accurate and personalized delivery of insulin to maintain optimal blood glucose levels. Blood glucose levels are monitored regularly, and insulin is manually adjusted, which can result in inconsistent control and raise the risk of high or low blood sugar. These fluctuations may compromise patient health and quality of life, stressing a great need for more advanced solutions. The smart insulin patch is an innovative solution designed to address gaps in diabetes management, utilizing continuous, non-invasive blood glucose monitoring with an AI-driven linear regression model running on an STM32 microcontroller. With the operation of the smart insulin patch, a patient is given real-time and continuous delivery of matching insulin in accordance with his or her arm glucose levels for dynamic, personalized glucose management thereby favouring meter readings. The system can thus react faster to ascending and descending changes in glucose, providing steady and precise regulation according to the metabolic requirement of individual patients. Continuous monitoring and automated delivery are an integrated system which brings advances into management of diabetes because it provides better glucose control so that rate of risk of complications associated with the traditional manual methods is greatly diminished. Besides, it provides patient comfort because it lessens finger-prick tests and other manual methods of control which patients are subjected to. Finally, the smart insulin patch ultimately aims at improving diabetes patients' quality of life by being a safer, more effective, and easier way to manage diabetes.

Authors

Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/icaeca63854.2025.11012222
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Insulin Patch With AI Optimized Delivery

S. k, V Manimekalai, G J Nalen, K Varshika
Diabetes Management and Research
article

Smart Insulin Patch With AI Optimized Delivery

S. k, V Manimekalai, G J Nalen, K Varshika
article en

Abstract

Effective diabetes management requires an accurate and personalized delivery of insulin to maintain optimal blood glucose levels. Blood glucose levels are monitored regularly, and insulin is manually adjusted, which can result in inconsistent control and raise the risk of high or low blood sugar. These fluctuations may compromise patient health and quality of life, stressing a great need for more advanced solutions. The smart insulin patch is an innovative solution designed to address gaps in diabetes management, utilizing continuous, non-invasive blood glucose monitoring with an AI-driven linear regression model running on an STM32 microcontroller. With the operation of the smart insulin patch, a patient is given real-time and continuous delivery of matching insulin in accordance with his or her arm glucose levels for dynamic, personalized glucose management thereby favouring meter readings. The system can thus react faster to ascending and descending changes in glucose, providing steady and precise regulation according to the metabolic requirement of individual patients. Continuous monitoring and automated delivery are an integrated system which brings advances into management of diabetes because it provides better glucose control so that rate of risk of complications associated with the traditional manual methods is greatly diminished. Besides, it provides patient comfort because it lessens finger-prick tests and other manual methods of control which patients are subjected to. Finally, the smart insulin patch ultimately aims at improving diabetes patients' quality of life by being a safer, more effective, and easier way to manage diabetes.

Openalex Percentile: Top 81%
Diabetes Management and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smart Insulin Patch With AI Optimized Delivery — S. k, V Manimekalai, et al. · (2025) | TGRS Research Map | TGRS