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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.

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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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