To date, Parkinson’s Disease (PD) has become the third leading disease threatening the health of the elderly worldwide. However, given the complexity of the pathogenesis, how to carry out large-scale and high-accuracy early diagnosis has become one of the biggest pain points in exploring PD treatments. With the development of big data, artificial intelligence, and the Internet of Things, the use of mobile terminals for intelligent diagnosis has become a possible breakthrough. The team will use mobile devices to collect instant data, develop artificial intelligence algorithms based on the collected data, and provide users with dynamic feedback on the risk of having PD. If this diagnosis and treatment system can be successfully executed, it can fill the vacancy in the domestic medical market and protect more middle-aged and elderly people.
Team Member:
| Ruitian Wu | Team leader |
| Jingwei Li | APP developer |
| Tzu-Liang Huang | Data analyst |
| Zian Pan | Data analyst |
| Zechen Yuan | Machine learning engineer |
