Predicting Patients' Response to Immunotherapy from Tumor Histopathology and Blood: Computational Science in Immuno-oncology
To Know
Where:
Online Webinar
Organizer:
CBIIT
Presented By:
Eytan Ruppin, MD, Ph.D (CCR Cancer Data Science Lab)
About this Class
Join Drs. Eytan Ruppin (presenter) and Timothy Shaw (moderator) as they present on four approaches for predicting how patients respond to checkpoint immunotherapy.
- Approach #1: Predicting patient response to the tumor bulk transcriptome
- Approach #2: Predicting response directly from the blood via simple routine lab tests and the tumor mutational burden
- Approach #3: Predicting patient immunotherapy response from the tumor histopathological images
- Approach #4: Building predictors of the tumor microenvironment and developing spatially grounded biomarkers of treatment response