A Machine-Learning Model to Forecast Glioma Treatment Effects
Speak to the lead researcher on a study to be published on October 4th. The study concerns how machine learning can be used to predict brain tumor aggression.
Tuesday, Oct 3, 2023, 9:30am - 10:30am EDT
Researchers have developed machine learning models trained to analyze characteristics of cancerous brain tumors and have identified critical markers to predict the aggressiveness of certain glioma subtypes. This has implications for addressing racial and ethnic disparities in brain cancer diagnosis.
Prof. Jiguang WANG, Padma Harilela Associate Professor of Life Science, Director of Wang Digital Health Laboratory