CIP-Net Working Groups
Facilitating
network-wide sharing of scientific resources, models, assays, data, and expertise to
accelerate cancer immunoprevention research and reduce duplication across CIP-Net
sites.
Advancing the field of
computational oncology by bridging computational advancements-spanning data science and AI—with
applications in cancer research areas, such as immuno-oncology, therapy resistance, and prevention science.
Connecting CIP-Net researchers, patients, patient advocates, and the broader public through accessible communication, meaningful dialogue, and community-informed cancer immunoprevention research.