News

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

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.

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.

A new publication using NCI funding and resources shows that a machine learning model, called Panoptes, allowed cancer researchers to reliably predict subtypes of endometrial cancer. Such “computational pathology” offers a useful framework for supporting human pathologists, trimming the labor needed to interpret histological findings to under 4 minutes per slide, and eliminating the time and cost of genetic sequencing.

This RFI will inform the development of an NIH initiative on the use of Artificial Intelligence/Machine Learning to address health disparities and inequities and enhance diversity within the AI/ML workforce.

NCI Director Dr. Ned Sharpless and CBIIT Director Dr. Tony Kerlavage recently published an article, “The Potential of AI in Cancer Care and Research,” which takes stock of current advances in artificial intelligence and machine learning and outlines some of the areas NCI hopes to explore in greater depth in the future.

This innovative team approach connects use cases with data sets to provide artificial intelligence (AI) developers with another set of resources for building AI tools to benefit radiology.

In partnership with The Cancer Imaging Archive (TCIA), the American Association of Physicists in Medicine released a special virtual issue of Medical Physics in March 2021 titled, “Datasets Hosted in NCI’s Cancer Imaging Archive.” This special issue aims to highlight valuable examples of both Medical Physics Data Set Articles (MPDAs) and publicly available data sets that can be reused for future research endeavors and utilized for addressing emerging scientific or clinical questions.

NCI is offering administrative supplements for the adaptation and repackaging of existing broad-based visualization methods that have the potential to make Cancer Moonshot-aligned data more explorable and interpretable by the broader cancer research community.

The NCI Imaging Data Commons (IDC) is now available. As the latest data repository within the NCI Cancer Research Data Commons, the IDC provides cloud-based access to medical imaging data and a library of analytical tools and workflows.

The NCI Cancer Research Data Commons’ (CRDC) Imaging Data Commons (IDC) team received a Certificate of Merit award for its educational poster exhibit at the 105th annual meeting of the Radiological Society of North America (RSNA).