The continuous advancement of technologies such as Artificial Intelligence, generative AI, the Internet of Things (IoT), and big data has driven the integration of technology and data, becoming key focal points in addressing public health and well-being, delaying dementia and disability, and enhancing care efficiency. The intelligent use of biomedical data plays a critical role in improving healthcare quality, accelerating research, and enhancing clinical outcomes, making it indispensable in modern medicine. To meet diverse healthcare demands, precision medicine leverages whole-genome association analysis, AI, and big data analytics to integrate and analyze various data, including individual genomic data, clinical symptoms, and diagnostic indicators. This integration aims to establish risk assessment models for common diseases among the population, thereby promoting the development of precision health. The concept of precision medicine not only enhances the effectiveness of clinical treatments but also contributes to disease prevention, reduces medical costs, and increases success rates, offering more accurate and personalized healthcare solutions for the public.
Academia Sinica Fundamental Investigation Inspired by Large-scale Biomedical Data (FILBD) Projects have been established with the mission of providing comprehensive scientific evidence to support disease risk assessment and prediction for Taiwanese society. The outcomes of this project include disease prevention, early screening of high-risk individuals, and tailored treatments. FILBD will address a wide range of topics including fundamental mechanistic investigations, platform technology development, improvement of disease risk assessment and prediction models, treatment optimization, reduction of adverse drug reactions, integration of multiple databases with systems analysis, and any other innovative ideas instrumental in achieving its mission. Ethical, economic, and regulatory issues regarding the governance of genomic data and clinical implementation of disease risk assessment are also welcome. This research will help us understand how specific gene variants affect gene functions and how they contribute to disease progression in Taiwan. The “FILBD Project” call for proposals was issued in June 2024 and approved projects commenced in January 2025.
Grant Office Contact Information:
Ms. YC Chang
Email: biomedgrant@gate.sinica.edu.tw
Tel: 2787-2614
Department of Academic Affairs and Instrument Service