Attending SNO 2024? Join CBIIT’s Dr. Jill Barnholtz-Sloan as she shares her latest brain tumor research.

Electronic Health Record data are typically incomplete and fraught with errors and biases. Learn how researchers are using LLMs to address data issues, particularly related to insufficient information.

This workshop, part of SC24, allows you to share insights and foster collaborations to progress computationally and data-driven cancer research and clinical applications.

CBIIT’s acting director will be a keynote speaker at the upcoming special conference on biostatistics in data-driven science. See what she’ll be talking about!

Register to learn about the intersection of federated learning, artificial intelligence (AI), and data privacy and security! This webinar is part of the 2024 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the application of AI in immuno-oncology.

Discover how a multidisciplinary team of experts has successfully bridged the gap between Big Tech, operations, and research by leveraging cutting-edge artificial intelligence (AI) technologies to enhance cancer research and operational efficiency.

Enhance your cancer research and analysis! Learn how to use this new, secure, cloud system that provides access to deidentified childhood, adolescent, and young adult cancer data.

Hear Dr. Warren Kibbe’s keynote about the importance of melding data, informatics, and artificial intelligence in cancer research. He’ll discuss paving the way between digitalization-enabled cancer interventions and our dependence on technology.

Learn how to access and use CCDI data and tools to support your research for understanding, detecting, diagnosing, and treating childhood cancer.

Hear from the top finalists of the NCI-hosted Medical Image De-Identification Benchmark Challenge!