News

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

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.

Share your thoughts on how data science can impact cancer’s toughest challenges, and your idea could transform into a team-operated, funded project for resolving that challenge! The deadline is November 28, 2022.

Learn more about this Fall 2023 mentorship program for students and scientists from diverse backgrounds. Past awardees have gained research experience in cancer data science!

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.

Apply to provide bioinformatic support as a staff scientist for the research program of Dr. Ludmila Prokunina-Olsson, Laboratory of Translational Genomics chief and senior investigator. This program is focused on genetics and genomics of bladder cancer and the role of IFNL4, a type III interferon, in infection and cancer.

Explore the newly released pediatric data set that includes information on DNA/RNA sequencing, methylation arrays, and deidentified clinical reports.

Learn more about NCI’s Request for Information and contribute to the conversation around cancer metabolomics data.

Collaboration, cooperation, and the need for multimodal, multiscale data were central themes in a recent article on NCI’s efforts to develop a cancer research digital twin.

The latest update to the Childhood Cancer Data Catalog includes website improvements and the addition of the database of Genotypes and Phenotypes (dbGaP).