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

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.

Cancer researchers and data scientists have the opportunity to provide NIH and the FDA input on the requirements for accelerating clinical applications of next generation sequencing and radiomics (including those using artificial intelligence and machine learning). Responses to these Requests for Information are due Monday, November 1, 2021.

The relaunched monthly CWIG webinar series will invite researchers from across the globe to discuss the latest advancements in cloud computing technologies, workflow, tools, and packages.

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.

Beginning with an “analysis-first” approach, the Bridge2AI program values the machine-understandability of data and incorporates ethical principles surrounding data collection and use. See the list of upcoming June events and funding opportunities affiliated with the program.

The NIH Office of Data Science Strategy recently announced four Notices of Special Interest for administrative supplemental funding. Supplement applications are due May 2021.

Attending the 2021 American Association for Cancer Research (AACR) Annual Meeting? Here are a few event and poster sessions you won’t want to miss to learn more about the latest NCI data science, data commons, and cancer research activities.

The NIH Office of Data Science Strategy is pleased to announce the Data and Technology Advancement National Service Scholar Program is now accepting applications for its 2021 cohort.

NCI seeks applications to develop Artificial Intelligence (AI)-based models using secondary data to help predict abdominal cancers. Applications are due June 5, 2021.