Prof. HAN Jingdong
Peking University

Prof. LIU Guanghui
Institute of Zoology, CAS

Aging is a complicated multi-factor process and is the leading risk factor for many human diseases. In the era of big data, an important scientific challenge in the field of aging biology  is how to use cutting-edge technologies such as artificial intelligence and theories of systems biology to interpret big data of aging and organ degeneration for mechanistic understanding and aging simulation, thus realizing the promise of precise medicine by early and accurate prevention, diagnosis, and treatment of human aging and related diseases. This session will focus on the topic of "Systems Biology of Aging" aiming at unravelling the molecular mechanisms of aging and identifying potential therapeutic targets through systematic analysis and deep excavation of big data, which provides a scientific basis for the realization of healthy aging.