ABOUT US
Founding and Concept
Origin of CARES
The World Health Organization (WHO) has been warning that non-communicable diseases (NCDs), such as cardiovascular disease, cancer, and diabetes, have become one of the major global health challenges. These diseases now account for the majority of deaths and healthcare expenditures, placing a significant burden on economies and societies worldwide. Reducing the burden of these diseases—and even preventing them among subhealth populations—has become a crucial issue. Despite Taiwan’s excellent healthcare quality and accessibility, the country’s life expectancy has declined in recent years compared to neighboring countries. This accentuates the limitations of relying solely on post-diagnosis treatments to improve overall health.
Disease Prediction
Future Preventive Medicine & Disease prediction
With advancements in wearable technology and data science, it is now feasible to provide health monitoring and advice that integrate seamlessly into daily life. Recognizing that traditional medical interventions and health checkups may no longer suffice in promoting public health, Professor Han-Mo Chiu (邱瀚模) from the NTU Hospital Health Management Center has assembled a team of experts from various disciplines within and beyond the hospital. This “Comprehensive Approach to Risk Elimination/Evaluation of Subhealth” (CARES) research group also unites bioinformatics and engineering experts from academia to identify the primary health factors affecting subhealth populations in Taiwan. By leveraging Personal Generated Health Data (PGHD) and diverse health data, the team aims to further predict the development risks of conditions such as Parkinson’s disease, coronary artery calcification, and non-alcoholic fatty liver disease.
In addition to academic and medical collaboration, we actively seek partnerships with industry leaders such as Acer Gadget(倚天酷碁), an Acer Group company, in hopes of applying research outcomes in real-world contexts. Our aim is to utilize advanced engineering, AI technologies, and data science to promote public health and elevate health awareness among the public.
