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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.

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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Get Rewarded by Sending Your “Recipe” for Data Sharing or Reuse in Biomedical Research

The DataWorks! Prize recognizes and rewards exceptional researchers for their work in biological and biomedical data practices. Submit your data sharing/reuse best practice “recipes” by July 24, 2024!

3D protein image. Shows interconnected blue strands, with one red strand in the middle. The red indicates a mutation, which resulted in a destabilized version of the protein.

New Tool Visualizes Cancer Data Mutations in Three Dimensions

Have you ever wanted to see the mutations you’re studying in three dimensions (3D)? CBIIT has a new tool, called 3DVizSNP, to help automate this process.

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Childhood Cancer Data Initiative Seeks Information From Labs to Support Molecular Characterization

NCI’s Childhood Cancer Data Initiative (CCDI) requests information from labs capable of conducting molecular profiling using specimens from pediatric and young adult patients. If you’re interested, review the Request for Information and submit your feedback by July 7, 2023, at 5:00 p.m. ET.

Circle with text that reads “RFP: Request for proposal”

New Contract Opportunity to Support NCI’s Proteomic Data Commons

Are you and your colleagues interested in helping maintain and grow the Proteomic Data Commons (PDC)? NCI has a new contract opportunity to support PDC’s current operations as well as build in new enhancements. Proposals are due Friday, September 29, 2023.

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Get Additional Funding to Enhance Data Science Capacity in Underserved Schools and Communities

Looking to enhance your institution’s capacity for data science tools and methodologies? Do you currently hold an NIH grant? Apply for an administrative supplement and get additional funding for that grant!

Futuristic depiction of machine learning in clinical practice. Here, a doctor presses symbol showing a pancreas while other images appear in the background, including a calendar, dialog boxes, patients, and medical cross.

Deep Learning Tool Predicts Risk for Pancreatic Cancer

NCI-funded researchers collaborated with scientists from Denmark to develop a deep learning tool for predicting risk for pancreatic cancer, an aggressive cancer that’s difficult to diagnose in the early stages of disease.

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