News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Drs. Emily Greenspan and Eric Stahlberg of NCI’s CBIIT and Frederick National Laboratory for Cancer Research, respectively, recently contributed to an article, “Digital twins for predictive oncology will be a paradigm shift for precision cancer care,” published in Nature Medicine. The commentary examines the vision that members of NCI’s Envisioning Computational Innovations for Cancer Challenges (ECCIC) community have for developing cancer patient digital twins. Such a platform could revolutionize how clinicians and policymakers approach cancer care and further advance precision medicine.

NCI's Division of Cancer Biology and IBM Research are hosting an "Ideas Lab" January 24-28, 2022. Cancer researchers, biomedical engineers, and computational experts are invited to team up and help design innovative approaches for modeling combination therapies to combat/treat cancer. The event registration deadline is Monday, November 22.

The NCI Cancer Research Data Commons has recently added 1,000 new clinical outcome data files for Clinical Proteomic Tumor Atlas Consortium (CPTAC) studies to NCI’s Genomic Data Commons and Proteomic Data Commons.

More than 70,000 CT scans from the National Lung Screening Trial (NLST) are now publicly available (no data access request needed). Read more to learn how to access this data through NCI resources.

In a recent podcast, NCI leaders from CBIIT and the Small Business Innovation Research Development Center shared how technological developments have enhanced cancer research and have helped usher in new diagnostics, treatments, and patient care.

A few of NCI’s Division of Cancer Biology grantees recently released publications on topics such as machine learning and artificial intelligence. These research results hold clues to how we research and develop various cancer treatments.

The new terminology for female reproductive neoplasms in NCI’s Thesaurus aligns with the latest World Health Organization standards. Other updates support CDISC’s standards and are intended to further facilitate the collection, management, and analysis of research data from human clinical trials and other studies.

Staff from CBIIT and NCI, alongside partners from NIH, FDA, and a consortium of scientists from across the world, joined forces to create reference samples and data call sets to help the cancer community further decipher cancer-related gene mutations. Their findings were recently published in Nature Biotechnology.

The NCI Cancer Research Data Commons’ Imaging Data Commons (IDC) has updated to include more features and 16 terabytes of medical imaging data files for cancer researchers and imaging informaticists.

The NCI Surveillance Research Program is hosting several webinars in October and November on resources for the analysis of SEER data and other cancer surveillance data. These webinars will include information on SEER*Stat, statistics, variables, methods, and software.