New Delhi

The National Institute of Technology (NIT) Rourkela announced on Tuesday that it has developed an advanced AI-driven model aimed at improving blood sugar predictions for individuals with diabetes.

The model is designed to assist both patients and healthcare providers in making better and more personalised treatment decisions.

Unlike traditional forecasting methods, which often require manual adjustments and struggle with long-term glucose trends, this AI model automatically processes data to identify key patterns.

By analysing past blood sugar fluctuations, it delivers precise predictions, enabling timely and personalised adjustments in insulin doses, diet, and physical activity.

The model has outperformed existing techniques by providing more reliable predictions tailored to an individual’s unique glucose patterns.

Additionally, it has been optimised for use on devices such as smartphones and insulin pumps, ensuring accessibility for everyday diabetes management.

According to the research team, led by Professor Mirza Khalid Baig, Assistant Professor of Biotechnology and Medical Engineering, the AI-driven approach has the potential to revolutionise diabetes care.

“Our core innovation lies in using multi-head attention layers within a neural basis expansion network, which allows the model to focus on the most relevant data points while ignoring unnecessary noise,” Baig explained.

He highlighted that this approach enhances performance without requiring large amounts of training data or extensive computing power.

“By combining precision with efficiency, we aim to provide a practical tool that can be integrated into digital health solutions, helping patients and doctors manage diabetes more effectively,” Baig added.

The model has the potential to be incorporated into smart insulin pumps for automated insulin delivery, mobile health apps for real-time glucose tracking, and clinical settings to assist doctors in designing personalised treatment plans.

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Currently, the researchers are planning extensive clinical trials at hospitals in collaboration with senior diabetologists in Odisha.

The project has received support from the Department of Science and Technology (DST), the Department of Biotechnology (DBT), and NIT Rourkela.