Genmab
Leveraging AI to Identify the KOL of the Future
Key Opinion Leaders (KOLs) play a pivotal role in shaping the direction of medical research, clinical practice, and public awareness. Traditional methods for identifying KOLs fall short in identifying emerging voices or perspectives as well as limiting the inclusion of some minority populations. This student team will work to apply AI/Data Science techniques to identify “rising stars” whose expertise and influence are expected to have a significant impact on the future of medicine. This student team will work to acquire a thorough understanding of current KOL criteria. The student team will also work to collect data and conduct analysis from desperate sources. The student team will work to conduct influence mapping, as well as predictive modeling, and trend analysis. The student team will also work to consult experts, such as clinicians and pharma industry experts. The outcomes this student team is working to accomplish include a comparative analysis, web based user interface, and the creation and delivery of a AI KOL Finder Playbook.
Faculty Adviser
John Raiti,
Assistant Teaching Professor and Technical Programs Advisor (Global Innovation Exchange),
Electrical & Computer Engineering
Students
Chungwei Wu
Manyu Chen
Yizhou Li