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AI-Enhanced Integration of Genetic and Medical Imaging Data for Risk Assessment and Precision Health of Type 2 Diabetes

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AI-Enhanced Integration of Genetic and Medical Imaging Data for Risk Assessment and Precision Health of Type 2 Diabetes

We have developed innovative AI models, particularly for Extreme Gradient Boosting models, to integrate genetic information derived from whole-genome SNPs, medical imaging information from four types of medical images, and demographic variables (including age, sex, and family history of disease) obtained from the Taiwan Biobank. This integration allows for the identification of high-risk subgroups and early detection of T2D. Additionally, a T2D risk assessment system has been established.

Academia Sinica

Founded in 1928, Academia Sinica has earned a reputation for being Taiwan’s national academic institution. Our statutory mission is to pursue research excellence, nurture academic talent, and issue policy advisories. Academia Sinica currently has 24 institutes and 9 research centers located in three research sections: the Mathematics and Physical Sciences Division, Life Sciences Division, and Division of Humanities and Social Sciences. There are currently over 8,000 research fellows, research technicians, assistants, and administrative staff, making it a rare research institution internationally that achieves a balanced development in both natural sciences and humanities and social sciences.

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  • Pavilion:Future Tech AIoT & Smart Applications FK04

  • Affiliated Ministry:Academia Sinica

  • Application Field:Information & Communications

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  • Technology maturity:Prototype

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Negotiate by self

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