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

Dr. Jill Barnholtz-Sloan, CBIIT’s associate director of Informatics and Data Science and DCEG senior investigator, together with research colleagues, used a direct data matching approach to compare brain tumors in U.S. Veteran and non-Veteran populations. The study indicates that direct and deterministic data matching approaches have the potential to compare the distribution of tumors, treatment trajectories, and clinical outcomes of other cancers and rare diseases among these populations.

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.

Interested in making data discoverable to the larger research community? Share your perspective with NIH, who wants to know how to improve data searchability and discovery. Cancer researchers, data submitters/generators, data users, and technology providers should respond by December 3, 2021.

The NCI Genomic Data Commons now has two new projects from studies about the potential health effects of exposure to ionizing radiation from the 1986 accident at the Chernobyl nuclear power plant in northern Ukraine.

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.

Another opportunity to support the bioinformatics community at NCI’s sister institute, the National Human Genome Research Institute! In this role, the selected fellow will develop and apply comparative genomic approaches to large-scale genomic data sets, focusing on how non-traditional animal models can be used to convey insights into human disease research.

Apply to join the bioinformatics community at NCI’s sister institute, the National Human Genome Research Institute (NHGRI). NHGRI’s Childhood Complex Disease Genomics Section is recruiting a bioinformatics-focused postdoctoral fellow to analyze phenotypic and genomic data in support of research for a broad range of childhood health issues in African and African-ancestry populations.

Data science is one of the crosscutting themes in NIH’s newly released Strategic Plan for Fiscal Years 2021-2025. The Strategic Plan outlines how NIH will advance its mission and fulfill the requirements of the 21st Century Cures Act. NIH outlines how utilizing data and modernizing the NIH-funded data ecosystem is imperative to mission success.

NINR is promoting and improving the health of individuals, their families, and communities. Watch the videocast for any one of the three webinars to learn how AI can positively impact patient well-being and how clinicians can use this technology in their practice.

CBIIT Director, Dr. Tony Kerlavage, along with NCI staff and a host of experts in childhood cancer research, recently published an article, “Cancer Informatics for Cancer Centers (CI4CC): Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult (AYA) Cancer,” in JCO Cancer Clinical Informatics. The article summarizes the Fall 2020 CI4CC Symposium and showcases the scope of initiatives underway to address childhood cancer, with a particular emphasis on how data science and informatics are helping to support these initiatives.