Immunotherapy holds great promise for cancer treatment, but why some patients respond better to immunotherapy than others remains a mystery. To uncover the role of genomic heterogeneity in therapeutic efficacy, scientists combine whole genome sequencing of patient samples with machine learning and animal models. In this webinar, Kuan-lin Huang and Benjamin Ostendorf will discuss recent research insights into the contributions of genomic heterogeneity to immunotherapy responses and outcomes.

Topics to be covered

• Predicting tumor immune response using genomic markers and machine-learning
• Determining melanoma progression and therapeutic response with common APOE germline variants

Speaker Information: