Predicting Patients’ Response to Immunotherapy from Tumor Histopathology and Blood: Computational Science in Immuno-oncology

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

This webinar is part of the 2025 SITC-NCI Computational Immuno-oncology Webinar Series, which is focusing on methods and clinical utility for biomarker development in immune-oncology. This is the fifth of ten free webinars set to help individual research labs overcome the computational challenges of analyzing and integrating different assay data throughout the spectrum of immuno-oncology for biomarker development. The annual series aims to educate early-career scientists, increase participants’ awareness of and engagement in NCI-supported Immunotherapy Networks, and fulfill the goal of accelerating progress in cancer research.