Speaker：Rui Liu（South China University of Technology）

Time：2022-04-21, 10:00

Location：Tencent Meeting ID：384498535（No Password）

Abstract:

The occurrence and development of complex diseases can be characterized mathematically by dynamical systems.  From the perspective of dynamic system, both health and disease belong to local stable state, and the occurrence and development of complex disease is the dynamic evolution process of human body gradually transforming from healthy state to disease state.  From systematic evolution level of abstraction, many complex disease development process has a common characteristic, that is, from health to illness state between a "critical state", on or before the critical state period, by changing the way of life and positive development of medical intervention can effectively prevent the illness usually (reversible).  Therefore, the key of health management lies in how to quantify health criticality and realize early warning so as to implement effective intervention.  In this report, we will present some of our efforts and results in early warning of criticality of complex biological systems based on biomedical data.  It mainly involves the prediction method of the future state of the high-dimensional dynamical system, the screening method of the dynamic network markers, and the warning method of the critical point of the dynamical system.