News

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

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.

The NIH Common Fund wants to enhance the value and use of its programs’ data sets. One of these programs—the Gabriella Miller Kids First Program—is designed for making discoveries in childhood cancers and birth defects. If you have a project that needs funding and could help enhance such data sets, submit an application by February 3, 2023.

Researchers seeking potential targets for treating childhood cancers now have an even better tool for the job. Check out the latest enhancements to the NCI Childhood Cancer Data Initiative’s (CCDI’s) Molecular Targets Platform.

Funding can be used to support data preparation for inclusion in the National Institute of Allergy and Infectious Diseases (NIAID) Data Ecosystem.

CCDI additions include molecular characterization data from childhood cancer patients of racial and ethnic diversity.

NCI is soliciting feedback on the utility and future promise of multidimensional tumor atlases for the Human Tumor Atlas Network, including high-priority data types and challenges/opportunities for computational modeling. Your responses are due January 7, 2023.

Data analysis of the DNA, RNA, protein, and phosphoprotein in lung adenocarcinoma cells connected molecular features of tumors with patient survivability. This study allowed researchers to better predict prognosis and treatment in lung cancer patients.

With help from NCI’s Small Business Innovation Research (SBIR) program, researchers are refining a biophysical simulation technology using computational models for personalized cancer care.

This newly released data set provides imaging in pediatric patients with newly diagnosed primitive neuroectodermal tumors throughout their treatment and until any potential relapse.

A new $14 million project, funded by NIH’s Bridge2AI program, is turning the traditional biomarker concept on its ear. Instead of examining genetic or similar molecular characteristics, researchers are collecting data to look for voice biomarkers that can be linked to cancer.