The Society for Immunotherapy of Cancer (SITC) is pleased to launch our sixth iteration of the "SITC Computational Immuno-oncology Webinar Series" throughout May-November 2026. This year's series will focus specifically on advanced methods and clinical utility for biomarker development in IO.

Organized by the SITC Big Data and Data Sharing Committee, these ten digital events will help individual research labs to embrace the computational challenges of analyzing and integrating diverse assay data across the spectrum of immuno-oncology for biomarker development. The goal of this series is to help foster better communication concerning data science technologies and analyses between cancer immunotherapy researchers and clinicians. All webinars in this series will take place live and be made available in their entirety on the SITC ConnectED platform as enduring materials.

Registration Rates

Target Audience

This series will serve as an excellent resource for all stakeholders interested in expanding their knowledge on current computational IO technologies and applications, with a specific focus on early disease settings, immune interception, and immunoprevention. Historically, both early career scientists who want to further their training, as well as more senior career individuals who want to implement these techniques for the first time, will greatly benefit from this series.

Learning Objectives

Upon conclusion of this activity, participants will be able to: 

• Identify and describe recent advances and emerging computational and AI-enabled methods that are transforming discovery and development in IO
• Apply emerging computational and AI-driven technologies to real-world IO challenges, including biomarker discovery, patient stratification, and therapeutic optimization
• Summarize emerging computational and AI-based strategies for therapeutic development in early-stage disease, including immunoprevention and immune-interception approaches