Yu-Ting Lin, PhD | Big Data Center, China Medical University Hospital; Chin-Chi Kuo, MD, PhD; Hsiu-Yin Chiang, PhD; Hung-Lin Chen, PhD
Competition Sponsor: Academia Sinica of Taiwan
Awardee Year: 2022
Population aging is a global phenomenon that leads to the increasing prevalence of chronic diseases globally. Except for natural aging (biological), premature aging (pathological) is another serious issue, for instance, for patients with end-stage renal disease (ESRD). Taiwan has the highest prevalence of ESRD globally and ESRD remains to be the No. 1 single-cause health expenditure and has contributed to 56.2 billion in Taiwan’s National Health Insurance. The accelerated aging process characteristics were found in ESRD patients, compared with age-matched controls, including telomere loss and increased susceptibility to disease and mortality. Maintaining and monitoring the kidney health of patients with chronic kidney disease (CKD) is important because CKD can rapidly progress to ESRD if not under controlled. The high-quality and multi-dimensional data is the key to provide insights to address knowledge gaps and to drive artificial intelligence (AI), and an platform that can integrate data and AI tools and provide real-time risk prediction would be a promising solution for digital therapeutics.
The Big Data Center (BDC) of China Medical University Hospital manages the most powerful phenome-genome-environmental data platform in Asia, encompassing 20-year medical records and environmental exposure data from 3 million patients and genetic information from 230 thousand patients. In our Healthy Longevity project, we will establish the AI-Empowered Guarding and Intelligence System (AEGIS) for precision kidney aging care and validate AEGIS in the multi-center real-world setting. We expect by integrating AEGIS in the clinical flow of CKD patients, we will be able to improve the quality of care, prolong the healthy life, reduce medical costs, and toward to sustainable healthcare system.
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