AI-Driven Tool Accurately Predicts Type 1 Diabetes Risk and Treatment Outcomes – Telangana Today

Researchers at Western Sydney University have developed an innovative AI tool designed to assess the risk of type 1 diabetes (T1D) using dynamic risk scores based on blood microRNAs. This tool, termed DRS4C, is capable of predicting disease progression and treatment responses, potentially revolutionizing diabetes diagnosis and management. It distinguishes between T1D and type 2 diabetes, leveraging data from 5,983 samples across multiple countries. The AI-enhanced tool was validated in a further 662 participants, showing that it could predict insulin dependence just one hour post-treatment. Professor Anand Hardikar highlighted the importance of early prediction, especially since aggressive, early-onset T1D can significantly reduce life expectancy. Dr. Mugdha Joglekar explained how dynamic risk markers offer real-time assessments of risk, contrasting with genetic markers that provide static insights. This advancement promises timely interventions and improved monitoring of diabetes without the associated stigma. The research is detailed in Nature Medicine.

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