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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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.

Silhouette image of of side portrait faces of five people that overlay each other. Three of the portriat faces are colored in light, medium and dark shades of red, one is in black and the last is shaded in torquise color.

Addressing Racial and Ethnic Bias in Algorithms that Predict Colorectal Cancer Risk

NCI-funded researchers looked at the impact of racial and ethnic bias on algorithms that help clinicians make more informed decisions when caring for patients with colorectal cancer. They found that removing the race and ethnicity variable could lead to higher bias in the model’s performance.

NCI-funded researchers used artificial intelligence to develop an accurate cancer estimation map for defining tumor margins. They found their model outperformed conventional estimates of tumor margins using imaging alone.

Using Artificial Intelligence to Map Prostate Tumors

NCI-funded researchers used artificial intelligence to develop an accurate cancer estimation map for defining tumor margins. They found their model outperformed conventional estimates of tumor margins using imaging alone.

imaging of breast cancer tumor

New AI Model Exceeds Standard Breast Cancer Prediction

In an NCI-funded study, mammography artificial intelligence (AI) algorithms generated a five-year breast cancer prediction that was better than a clinical risk model.

Torso imaging with breast cancer tumors

NCI Grant Supports Artificial Intelligence for Breast Cancer Research

How can artificial intelligence assist in treating breast cancer? Learn more about the $3.3 million NCI grant awarded to help advance research into drug therapy.

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