Constructing Healthy Living in Super-Aged Society by Artificial Intelligence: From Geroprotective Intervention to Care Management
Principal Investigator |
Liang-Kung Chen Professor
AHRC, NYMU
Co-Principal Investigator |
Ching-Po Lin Professor Institute of Brain Science, National Yang-Ming University
Ting-Fen Tsai Distinguished Professor Department of Life Sciences and Institute of Genome Sciences
Fei-Yuan Sharon Hsiao Associate Professor Department of Pharmacy, National Taiwan University
Co-Principal Investigator |
Ching-Po Lin Professor Institute of Brain Science, National Yang-Ming University
Ting-Fen Tsai Distinguished Professor Department of Life Sciences and Institute of Genome Sciences
Fei-Yuan Sharon Hsiao Associate Professor Department of Pharmacy, National Taiwan University
Project Intro
Population aging is a global trend and impact, and Eastern Asia ages faster than other continents. In particular, Taiwan will become the oldest country in the future. World Health Organization published“World Report on Aging and Health”, which highlights concepts of healthy aging through strengthening the intrinsic capacity and functional ability. This project aims to construct the “life and bio-signature” to measure biological aging through the extensive research data from community aging study and the newly collected research data from “Longitudinal Aging Study of Taipei” to promote AI research from 3 aims. Aim 1 focused on the declines in physical and cognitive function to clarify the trajectory of aging, which combines demographic characteristics, qualitative interview data, and innovative data from omics study, as well as real-time data from wearable devise and air pollution. Strategies for healthy aging will be generated through AI results. Aim 2 focused on trivial neurodegenerative phenomenon for early detection and to construct the novel “brain age” via AI development as the reference for early neurodegenerative processes/ Aim 3 focused on the AI-assisted health care management that using big public health data to generative patterns for health care management for older people and the introduce “value-based health care” in selected hospitals to explore the health care outcomes and to validate the life and bio-signature developed in Aim 1 as the marker of biological aging.
Population aging is a global trend and impact, and Eastern Asia ages faster than other continents. In particular, Taiwan will become the oldest country in the future. World Health Organization published“World Report on Aging and Health”, which highlights concepts of healthy aging through strengthening the intrinsic capacity and functional ability. This project aims to construct the “life and bio-signature” to measure biological aging through the extensive research data from community aging study and the newly collected research data from “Longitudinal Aging Study of Taipei” to promote AI research from 3 aims. Aim 1 focused on the declines in physical and cognitive function to clarify the trajectory of aging, which combines demographic characteristics, qualitative interview data, and innovative data from omics study, as well as real-time data from wearable devise and air pollution. Strategies for healthy aging will be generated through AI results. Aim 2 focused on trivial neurodegenerative phenomenon for early detection and to construct the novel “brain age” via AI development as the reference for early neurodegenerative processes/ Aim 3 focused on the AI-assisted health care management that using big public health data to generative patterns for health care management for older people and the introduce “value-based health care” in selected hospitals to explore the health care outcomes and to validate the life and bio-signature developed in Aim 1 as the marker of biological aging.
Platform Features
- Using AI to construct a healthy aging solutions
- Using AI to redefine aging and neurodegeneration.
- Constructing a valuable, innovative medical & AI care model
Cooperating Partners
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- ASUS
- Taipei Veterans General Hospital
Contact info
Tel:02-2875-7830
Mail:lkchen2@vghtpe.gov.tw
Tel:02-2875-7830
Mail:lkchen2@vghtpe.gov.tw