News

NCI’s Office of Cancer Clinical Proteomics Research’s new blog highlights recent findings from scientists in the Clinical Proteomic Tumor Analysis Consortium. It describes a proof-of-concept approach to identifying fraudulent data in biological data sets.

In the latest episode of the Center for Cancer Genomics (CCG) podcast, “Personal Genomics,” CCG honors the work and legacy of Dr. Daniela S. Gerhard. Dr. Gerhard was a program director and passionate open data advocate who spent nearly two decades developing large-scale genomics and translational research programs at NCI.

NCI is looking for cancer researchers, who need access to comparative oncology data sets, to give feedback on the Integrated Canine Data Commons (ICDC) data portal and its tools.

In RAS-related diseases, such as cancer, mutations in the RAS genes or their regulators render RAS proteins persistently active. Investigating RAS activation events is challenging when using conventional techniques. An unprecedented multiscale platform is using machine learning to change that.

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.