News

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

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CCDI’s Molecular Characterization Initiative Releases First Data Set

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

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NCI Requests Your Input on the Use and Reuse of Cancer Metabolomics Data

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

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See What’s New in the Childhood Cancer Data Catalog

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

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CLIM: A Data Science Approach to Identifying “Bystander” Genes in Cancer Precision Medicine

A new precision medicine platform combines machine learning with sophisticated analysis to help researchers mine chromosomal alterations linked to cancer.

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NCI Seeks Applications to Develop AI Models Using Secondary Data to Better Predict Abdominal Cancers

Learn more about a funding opportunity to develop AI-based models for predicting abdominal cancers. Applications may be accepted until May 8, 2023.

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Discover the New Index of NCI Studies Web Application to Get NCI Research Outputs

Welcome to the Index of NCI Studies: a new web application designed to gather and display cancer research publications, data sets, clinical trials, and patents from NCI-funded programs. Explore the application (currently in a pilot phase) and leave feedback!

Childhood cancer patient trying to listen to the heartbeat of their teddy bear with a stethoscope.

Explore New Resources and Data Sets from the CCDI Data Catalog

The latest update to the Childhood Cancer Data Catalog includes new and updated data, improved accessibility, as well as enhanced site search tools.

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Observational Study Shows Value in Using AI to Plan Radiotherapy for Lung Cancer

Learn how NCI CT (Computed Tomography) imaging data sets enable the use of artificial intelligence in planning treatment for non-small cell lung cancer.

Torso scan image in blue with breast details and cancer spot in orange

NCI Multi-omic Data Helps Identify Resistance to Chemotherapy in Patients with Breast Cancer

Discover how researchers are using NIH/NCI genomics and proteomics data to gain insight into chemotherapy resistance in triple negative breast cancer.

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NCI-Supported Study Uses Deep Learning for Cancer Prognosis

An NCI training grant and resources such as the NCI Cancer Research Data Commons’ Genomic Data Commons, in part, made it possible for this study to use multimodal deep learning. This model allowed researchers to examine pathology whole slide images and molecular profile data from 14 cancer types to enable more accurate patient outcome predictions.

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