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Having trouble reproducing results from machine learning (ML) computational pathology studies? See how NCI’s Imaging Data Commons may be able to help, as evidenced by a new study.

NCI wants your input to help determine how compatible NCI’s Cancer Research Data Commons is with artificial intelligence applications. Explore this request for information to learn how to contribute!

We’re seeking a qualified biomedical informatics specialist to join our CBIIT Team. Apply today for this unique opportunity to use data-driven approaches for advancing cancer research.

The Advanced Research Projects Agency for Health (ARPA-H) announced a new program, Biomedical Data Fabric (BDF) Toolbox, on September 13th, following the White House’s announcement that described it as a program that will thread together research data across the country to help the scientific community find and share medical insights more easily, to break down data research silos, and deliver health solutions to people more quickly.“Our goal is to make biomedical research data easier for peo....

Researchers with NCI’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) have produced a resource of global proteome and post-translational modifications, whole genome and whole exome sequencing, miRNA and total RNA sequencing, DNA methylation, imaging, and clinical information for more than 1,000 cancer patients across 10 tumor types. A description of the effort to harmonize and disseminate this resource, as well as four subsequent studies that use it, were published in mid-August online b....