News

NIH needs input on potential updates to the NIH Genomic Data Sharing Policy! As a researcher or data scientist, share your perspective related to cancer genomic data to help the policy keep pace with evolving scientific opportunities and stakeholder expectations. Responses to the Request for Information will be accepted through February 28, 2022.

NCI DATA Scholar Dr. Jay G. Ronquillo recently published a study using NIH “All of Us” data and NCI’s Cancer Research Data Commons to better understand pharmacogenomic prescribing and testing patterns across the United States.

NCI’s Center for Cancer Research invites applicants with image processing, machine learning, and deep learning experience to be considered for a federal image bioinformatics scientist position supporting the Artificial Intelligence Resource. The successful candidate will develop and implement automated imaging and data processing workflows to analyze large image data sets generated by confocal microscopes.

NCI’s Informatics Technology for Cancer Research (ITCR) program supports a wide range of cancer informatics tools. Curious to see what those tools are and how they are integrated? Check out the ITCR Connectivity Map!

Drs. Emily Greenspan and Eric Stahlberg of NCI’s CBIIT and Frederick National Laboratory for Cancer Research, respectively, recently contributed to an article, “Digital twins for predictive oncology will be a paradigm shift for precision cancer care,” published in Nature Medicine. The commentary examines the vision that members of NCI’s Envisioning Computational Innovations for Cancer Challenges (ECCIC) community have for developing cancer patient digital twins. Such a platform could revolutionize how clinicians and policymakers approach cancer care and further advance precision medicine.

NCI's Division of Cancer Biology and IBM Research are hosting an "Ideas Lab" January 24-28, 2022. Cancer researchers, biomedical engineers, and computational experts are invited to team up and help design innovative approaches for modeling combination therapies to combat/treat cancer. The event registration deadline is Monday, November 22.

The NCI Cancer Research Data Commons has recently added 1,000 new clinical outcome data files for Clinical Proteomic Tumor Atlas Consortium (CPTAC) studies to NCI’s Genomic Data Commons and Proteomic Data Commons.

More than 70,000 CT scans from the National Lung Screening Trial (NLST) are now publicly available (no data access request needed). Read more to learn how to access this data through NCI resources.

In a recent podcast, NCI leaders from CBIIT and the Small Business Innovation Research Development Center shared how technological developments have enhanced cancer research and have helped usher in new diagnostics, treatments, and patient care.

A few of NCI’s Division of Cancer Biology grantees recently released publications on topics such as machine learning and artificial intelligence. These research results hold clues to how we research and develop various cancer treatments.