News

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

These APIs aim to enhance data accessibility and integration for childhood cancer research, leading to advancements in treatments for pediatric cancer patients.

Are you a cancer biology investigator? NCI wants to hear about your experiences developing and implementing data management and sharing plans. Share your feedback by July 26, 2024.

NCI’s Childhood Cancer Data Initiative seeks your feedback for the Pediatric Cancer Core Common Data Elements, a newly created resource which facilitates data integration and analysis.

NIH is soliciting comments on a new draft of the Public Access Policy which will remove the 12-month embargo period for NIH-funded manuscripts and data.

Discover a new AI-driven tool that uses single-cell RNA data to help predict patient responses to cancer treatments.

NCI staff contributed to an October 2023 publication that highlights how the Global Alliance for Genomics and Health (GA4GH) coalition is creating a more equitable, diverse, and inclusive environment within its standards and members. This is to prevent continuing biases in genomics data collection methods and the genomics workforce. By taking actions to address such changes, the GA4GH coalition hopes to inspire others to do the same and make genomic data more representative of the global community.

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.

See the digital health technologies informed consent resource that your Request for Information responses helped create!

Are you curious about NCI’s current research? Use NCI’s newly updated Index of Studies to learn about the projects underway, including focus areas and cancer types.

Explore this NCI-supported solicitation for revision applications focusing on data reuse and secondary data analysis!