A University student developed a machine-learning model to identify factors associated with cancer outcomes across the globe, according to a Jan. 14 study. Biochemistry senior Milit Patel developed an interactive tool that combines global cancer data with countries’ health system information to analyze how strongly different factors correlate with cancer survival rates in different countries. …Read More
Student develops model, reveals country-specific factors in global cancer outcomes
By Aiman Tareen
