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.
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.
Building integrated management system by artificial intelligence based on big data analysis and data mining to implement precision medicine in healthcare management
Design and Implementation of Mining Purchasing Datasets for Purchasing Behavior Prediction and EDM Title Generation
Integrating Generative AI and Deep Learning for Next-Generation Remote Smart Early Warning System for Sudden Cardiac Arrest
"1) Integrating AI recognition, IoT, and blockchain into traceable software and hardware for recycling UCO 2) Cutting-edge 3D learning platform powered by Spatial AI 3) Optimize use of existing buildings by making them transformable and adaptive to human needs at the click of a button 4) Non-contact image analysis and calculation technology to capture vital signs through dynamic face detection"
Technology maturity:Prototype
Exhibiting purpose:Display of scientific results
Trading preferences:Negotiate by self
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