Temporal and Spatial Composition of the Tumor Microenvironment Predicts Response to Immune Checkpoint Inhibition
To Know
Where:
Online
Organizer:
NCI Rising Scholars: Cancer Research Seminar Series
Presented By:
Noah Greenwald PhD (UCSF)
About this Class
Dr. Greenwald developed machine learning tools to profile highly multiplexed imaging data. He then used these tools to characterize the tumor microenvironment in breast cancer patient samples, combining this spatial information with paired DNA and RNA sequencing data to predict patient response to immunotherapy.