News

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

Help define the data standards that will make data in the USCDI+ Cancer Registry interoperable with data collected for clinicals, public health, and research. Submit your feedback by Monday, September 23, 2024.

The funding opportunity aims to support Research Software Engineers in developing and disseminating biomedical, behavioral, or health-related software, tools, and algorithms.

NCI-funded researchers are blending mathematics with machine learning to refine cancer treatment. In the future, this kind of virtual tumor model could help to further personalize care for people with cancer.

See how a new NCI-funded tool is helping scientists learn more about spatial gene expression, enabling them to use these data to better understand how cells relate—with their neighbors and within the tumor environment.

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

Are you researching immunotherapies and having trouble predicting which epitope will deliver the biggest punch? Try this new model for predicting immunogenicity, which is reportedly outperforming current models.

In the “Mitelman Gene Fusions in TCGA” notebook, ISB Cancer Gateway in the Cloud (an NCI Cloud Resource) identified the most common gene fusions in prostate adenocarcinoma, demonstrating machine learning in Google BigQuery.

Use “metricminer” to discover the effectiveness of your software evaluations and expand the reach and impact of your scientific software.

NIH Institutes and Centers (including NCI) are interested in the validity, reliability, and utility of digital health tools and artificial intelligence/machine learning (AI/ML) technologies. You can apply for NCI funding to support the validation of these technologies for cancer research.

Are you having trouble prioritizing which genetic variants to study in your cancer research? There’s a new platform, called FORGEdb, that can help you pinpoint promising variants and target genes.