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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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Deep Learning Model Proves Useful in Head and Neck Cancer Care

Learn about this model that predicts survival and disease outcome in patients with head and neck squamous cell carcinoma.

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Get Funding by Predicting Cancer Risks and Related Outcomes with Existing Data

If you analyze secondary data to enhance cancer risk prediction, seize this opportunity! Funding is available to those who want to create innovative data analysis techniques (that use existing data) for a better understanding of cancer risk and related outcomes.

Image shows a non-contrast low-dose chest CT scan. Three red dashed lines run across the chest scan and show the sections selected for body composition assessment.

Using AI to Assess Body Composition Could Help in Cancer Care

In a recent study, NCI-funded researchers applied an artificial intelligence model to lung screening computed tomography images to assess body composition. The team used two key indicators of health—skeletal muscle and fat (adipose) tissue—to predict death from lung cancer, cardiovascular disease, and other causes.

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Search Engine Tool Targets Peptide in Mass Spectrometry Proteomic Data Sets

PepQuery2 is a proteomics tool that enables rapid and targeted identification of both known and novel peptide sequences in proteomics data sets. The tool aims to provide valuable data sets for the broader research community by making public proteomics data more accessible and user-friendly.

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Submit Your Algorithm or Tool to Test Cancer Preventive and Screening Interventions

Data scientists and cancer researchers—you can receive funding to improve cancer screening and other preventive services in populations that experience health disparities.

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Deadline Extended: Submit Your Abstract for the Ninth Computational Approaches for Cancer Workshop by August 14

CAFCW23 brings together data and computational scientists, cancer biologists, and developers interested in accelerating the progress of computationally and data-driven cancer research and clinical applications.

Example of a scan using a non-invasive imaging technology. The scan shows a yellow band at the top, a green layer in the middle, and a deep blue band underneath. The colored layers represent skin and the underlying tissues.

NCI SBIR Award Helps Company Use AI to Assess Cancerous Skin Lesions

With the help of an NCI SBIR grant, Enspectra Health, Inc., is blending deep learning algorithms with existing imaging technology to create a new way of obtaining a virtual biopsy.

Stylized x-ray of a head, with a red dot in the mouth representing oral cancer.

Personalized Calculator Predicts Oral Cancer Survival

Discover how SEER data and statistical models can help personalize oral cancer treatments.

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Insights Into the Childhood Cancer Data Initiative’s Progress

Read the editorial review of a paper outlining the progress and future goals of the Childhood Cancer Data Initiative!

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New Cancer Data Service Expands Access to NCI Data Ecosystem

The Cancer Data Service (CDS) Portal is now live. This brings cancer researchers expanded capacity and flexibility when using the NCI data ecosystem.

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