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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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Interpretable AI Helps Predict the Effectiveness of Immunotherapy

Learn about NCI’s LORIS, a new artificial intelligence-approach to help you predict how a patient will respond to immunotherapy.

Graphic depicts the evaluation of AI. A scale is shown at the center of the graphic. The scale weighs the accuracy of AI (“accuracy” positioned to the left of the scale and depicted as the letters “A-I” within cogwheels) and the results/what’s learned of AI (“results” positioned to the right of the scale and portrayed as a human brain). Arrows encircle the top and bottom of the scale, illustrating a cycle.

Evaluating Diversity in an Artificial Intelligence (AI) Model for Breast Cancer

Can you develop an algorithm that applies to every patient, in every situation? A recent study shows the importance of adding diversity to your data when developing AI models.

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Artificial Intelligence Aids in Predicting Prostate Cancer

See how NCI researchers are using artificial intelligence to develop tools that may someday help oncologists make more informed decisions when caring for people with prostate cancer.

An illustrated colon is shown, cradled in the outstretched hands of a doctor wearing a white lab coat.

Machine Learning Helps Refine a New Approach for Early Colorectal Cancer Screening

NCI-funded researchers are using machine learning to help identify an early-warning screening approach for colorectal cancer.

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MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

Headshot of Dr. Jill Barnholtz-Sloan

Dr. Jill Barnholtz-Sloan Named CBIIT’s Acting Director

Dr. Jill Barnholtz-Sloan is CBIIT’s new acting director following Dr. Tony Kerlavage’s retirement last week. In addition to this role, Dr. Barnholtz-Sloan maintains her responsibility as associate director for the Informatics and Data Science Program and senior investigator in the Division of Cancer Epidemiology and Genetics, Trans-Divisional Research Program.

CAFCW24

What is Healthy AI? Submit Your Abstract by August 9 for the Tenth Computational Approaches Workshop

CAFCW24 is an opportunity to collaborate with experts in data science, computational biology, artificial intelligence (AI), computer science, and other disciplines to drive cancer research and innovation.

A cancer cell is highlighted in orange against a blue background that consists of other cancer and immune cells. The orange cell is in crosshairs, indicating that it’s being targeted for destruction.

Model Helps Predict Protein’s Immune-Boosting Ability

Are you researching immunotherapies and having trouble predicting which epitope will deliver the biggest punch? Try this new model for predicting immunogenicity, which is reportedly outperforming current models.

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New Resource on Informed Consent Language for Digital Health Studies

See the digital health technologies informed consent resource that your Request for Information responses helped create!

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New Notebook Demonstrates Machine Learning in Google BigQuery Using Updated Mitelman Database

In the “Mitelman Gene Fusions in TCGA” notebook, ISB Cancer Gateway in the Cloud (an NCI Cloud Resource) identified the most common gene fusions in prostate adenocarcinoma, demonstrating machine learning in Google BigQuery.

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