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

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.

With funding from NCI’s Childhood Cancer Data Initiative, researchers at Oregon Health & Science University’s Knight Cancer Institute have shared new data from pediatric, adolescent, and young adult patients with Acute Myeloid Leukemia.

NIH has issued a request for public comments on draft supplemental information to the NIH Policy for Data Management and Sharing. Responses will be accepted through June 27, 2022.

Genomic studies of childhood and rare cancers got a major boost, as a new optimized workflow for managing these data was recently reported in Nature Communications. And, thanks to funding by NCI’s Childhood Cancer Data Initiative, it’s easier and faster to share those data with the cancer research community.

The Frederick National Laboratory for Cancer Research’s Laboratory of Human Retrovirology and Immunoinformatics has updated its bioinformatics resource system known as DAVID. The system provides investigators with a set of functional annotation tools to better understand the biological meaning behind large lists of genes.

In this JAMA Oncology Viewpoint opinion article, Dr. Jill Barnholtz-Sloan, NCI’s associate director for Informatics and Data Science, discusses NCI’s large-scale data sharing and access efforts. She also stresses that as we continue to generate cancer data, free and open scientific data should be treated as a public good.

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.

Dr. Peng Jiang of NCI’s Center for Cancer Research Cancer Data Science Lab and his postdocs have developed an open-source computational tool called the tumor-resilient T cell (Tres) model. Tres analyzes gene activity in T cells to assess how those cells are likely to fare in an immunosuppressive environment.

Calling all experienced biomedical informatics professionals who want to work in the area of cancer research: consider joining NCI! The Center for Biomedical Informatics and Information Technology (CBIIT) is looking for a new a biomedical informatics project manager.

Are you an experienced data/computer scientist or engineer? Apply to work with NCI as an NIH Data and Technology Advancement (DATA) Scholar to create multi-modal cancer data integration solutions from cross-atlas data sets.