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!

Hear Drs. Kibbe, Lieu, and Zack discuss a new era of technological development that researchers like you are using in the fight against cancer. This session will be one of many during the 2024 Association of American Cancer Institutes (AACI)/Cancer Center Administrators Forum (CCAF) Annual Meeting.

Join us to reflect on the last 10 years of CRDC accomplishments and discover what lies ahead for this data science infrastructure! Informative session topics will address interoperability and data governance, data search and discovery, partnership updates, and how the CRDC contributes to research studies.

Attend this webinar to learn how artificial intelligence (AI) is transforming science, giving cancer researchers, like you, new ways to simulate complex phenomena by modeling single-cell data.