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

Abstract image with title: New Features and Data! NCI Imaging Data Commons. Icons below include: microscope, chest xray, laptop with coding symbol, API symbol

New Data and Updated Features at NCI's Imaging Data Commons

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.

Figure shows the graphical abstract from the recent article by Hong et al., “Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models,” which was published in Cell Reports Medicine. Using this machine learning model, researchers were able to interpret histological slides to identify four key subtypes of endometrial cancer (CNV-H, CNV-L, MSI-H, and POLE).

NCI-funded Machine Learning Gives New Insight into Endometrial Cancer

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.

Humaniod depiction of artificial intelligence/machine learning

NIH Issues RFI for Advancing AI/ML Technologies to Redress Health Disparities: Responses Due July 9

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.

Side-by-side professional headshots of Dr. Ned Sharpless and Dr. Tony Kerlavage

Read NCI's Four Priority Areas for Artificial Intelligence

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.

Numbers in blue are streaked across going from left to right and intersect in the middle of a black background with reddish orange numbers going top to bottom.

NCI Partners with the American College of Radiology Data Science Institute to Speed AI Development

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.

Medical Physics: Special Issue on The Cancer Imaging Archive Data Sets

Medical Physics Releases Special Issue on Data Sets Hosted in The Cancer Imaging Archive

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.

Icon illustrating visualized data emerging from a computer monitor.

NCI Offers Administrative Supplements to Adapt/Repackage Visualization Methods for Enhancing Cancer Moonshot Data

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.

An icon depicts a human entering a CT scanning machine. Foreground text reads, "NCI's Cancer Imaging Data Commons has launched!"

Access Imaging Data Through the Cloud-based NCI Imaging Data Commons

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.

National Cancer Institute Imaging Data Commons Poster won a Certificate of Merit at RSNA19. This poster outlines the components and details of the Imaging Data Commons: it's place within the Cancer Research Data Commons (CRDC), the IDC, IDC Minimum Value Product, Guiding Principles for the Development, Standardization (DICOM), IDC vs. The Cancer Imaging Archive (TCIA), the tentative implementation timeline, the Cloud Platform (Google Cloud), Image Visualization (OHIF), and Use Cases.

NCI CRDC Imaging Data Commons Team Wins Certificate of Merit Award for Educational Poster Exhibit at RSNA 2019

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).

Icon of a X-ray machine showing a user icon's skeletal system over a background of sarcoma tisuse cells. The overlaid text reads "See what's new on the Cancer Imaging Archive CPTAC Pathology Portal: 76 new pathology slides, 25 new cases, and Cutaneous Melanoma, and Glioblastoma Multiforme Sarcomas"

New CPTAC Imaging Data Released

A new batch of Clinical Proteomic Tumor Analysis Consortium (CPTAC) histology imaging data has been released and is now publicly available on The Cancer Imaging Archive (TCIA) CPTAC Pathology Portal.

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