News

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

Learn how NCI CT (Computed Tomography) imaging data sets enable the use of artificial intelligence in planning treatment for non-small cell lung cancer.

An NCI training grant and resources such as the NCI Cancer Research Data Commons’ Genomic Data Commons, in part, made it possible for this study to use multimodal deep learning. This model allowed researchers to examine pathology whole slide images and molecular profile data from 14 cancer types to enable more accurate patient outcome predictions.

An artificial intelligence (AI)-driven, computer-aided diagnosis (CAD) software first developed by code writers’ physicians at NIH has received FDA clearance for the detection and diagnosis of prostate cancer. The tool, called ProstatID, combines AI with traditional MRI scanning.

TCIA has released three new data collections for cancer research. The new collections feature data from glioblastoma multi-parametric magnetic resonance imaging (mpMRI), a glioblastoma-based MRI Digital Reference Object (DRO), and data from colorectal digital biopsy slides.

Do you work with imaging data and tools? Share feedback on NCI’s Imaging Data Commons!

Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models, algorithms, and approaches for breast density estimation using image-based distributed or federated learning.

Two breast cancer imaging data collections have recently been released and made publicly available by The Cancer Imaging Archive. Together, these two collections comprise the first subgroup of publicly released imaging data from the I-SPY2 clinical trial.

Over the past several years, scientists have made exciting advances in the realm of artificial intelligence (AI) and its integration into the cancer imaging field. New AI tools could make cancer imaging faster, more accurate, and more informative. But are they ready for real-world implementation?

CBIIT Director, Dr. Tony Kerlavage, sat down recently for a podcast examining the evolution of NCI’s Data Commons. He tracked the development of the Cancer Research Data Commons, from its early pilots to today’s cloud-based infrastructure, with repositories of diverse data and more than 1,000 tools and resources.

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.