A Dose of AI for Disease Prevention and Treatment

Data for Impact Summer Institute 2020

Students on Summer Project Team:
Dinglun He 'G, Electrical & Computer Engineering
Kenny Lin '22, Computer Science & Engineering
JiaBei Wei '22, Computer Science & Engineering
Danyang Zhu '21, Statistics

Faculty Mentor(s): Lifang He, Assistant Professor, Computer Science & Engineering

Project Video: Click here to view

Project description:
AI combined with predictive analysis has helped change the landscape of disease prevention and treatment – bringing a paradigm shift to healthcare. With improved image analytics, concrete clinical and diagnostic decision-making, AI has been highly beneficial for the treatment of chronic diseases like cancer, neurology, and cardiology. In this project, students will develop predictive AI algorithms for early detection and biomarker discovery on various diseases over different kinds of data, such as mood disorder prediction in mobile keyboard, ROP and Parkinson's disease prediction with image and clinical data. Students will engage in focused problems to develop prototypes, run experiments and scale how this works, etc. This project would invigorate fields like computer science and healthcare and trigger the development of new models and algorithms. It could also help solve some medical problems for the benefit of humanity as well as harness the power AI in healthcare. Through this process, students will begin to form lasting AI capability in healthcare.