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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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NCI-Funded Artificial Intelligence (AI) Tool Powers Up Spatial Transcriptomics

A new spatial transcriptomics tool, called Spotiphy, can help you visualize gene distribution patterns across entire tissue sections, giving you a more complete picture of the tumor and its microenvironment.

The letters "A.I." hover overtop a keyboard. A finger checks the first of three boxes that appear to the right. Image signifies the importance of adhering to guidelines when developing artificial intelligence.

NCI Helps Establish Guidelines for Artificial Intelligence (AI) Models for Prostate Cancer

Having trouble discerning what makes a successful AI model? NCI is leading the way in developing concrete guidelines for building, evaluating, and reporting on AI-assisted prostate imaging models.

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Important Reminders About the Use of AI and Protecting Human Genomic Data

If you use or develop generative artificial intelligence (AI) in your cancer research, these important reminders about data security are for you!

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NCI-Funded Pipeline Applied to Microscopic Images Helps Manage Micronuclei

See how a new AI-driven tool can help you measure micronuclei and similar structures to study their underlying biology, enabling you to more efficiently measure and characterize these tiny structures.

Head with the letters “A.I” shows how AI can help “see” research in a new way. The head is focusing on icons that represent pathology, research, imaging, and ideas—all of which come together to create a new perspective for cancer research.

The Making of a New Artificial Intelligence (AI)-Approach to Head and Neck Cancer

See how NCI-funded researchers built on previous studies to create a new model (called SMuRF) for head and neck cancer. Their model offers a new, more human-like, perspective to assessing head and neck cancer.

Two hands shaking, with the letters “AI” in the forefront. Signifies a new public-private partnership using artificial intelligence.

NCI Clinical Trials Get a Boost from Public-Private Partnership

Read about a new collaboration between NCI and a company that develops AI-powered solutions for cancer diagnostics and therapeutics. NCI will be applying these tools to help advance research into personalized treatment for patients with cancer.

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NCI-Supported Study Uses Machine Learning (ML) to Help You Tap into the TCGA

Thanks to this NCI-funded study, you now have a host of top-performing predictive models, data types, and training algorithms to help you better classify your patient samples.

AACR Annual Meeting

NCI Data Science at the 2025 AACR Annual Meeting

See when and how you can access NCI’s data science sessions at the 2025 American Association for Cancer Research Annual Meeting!

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FusOn-pLM: A Fusion Oncoprotein-Specific Language Model for Predicting Drug-Resistant Mutations

Do you work with fusion oncoproteins? Explore a new protein language model (pLM) that NCI-funded researchers trained on fusion oncoproteins to advance discoveries in fusion-driven cancers!

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Validate and Test your DICOM De-Identification Algorithms Using the MIDI Benchmark

Use the Medical Image De-Identification Benchmark (MIDI-B) to assess the effectiveness of your DICOM image de-identification tool or algorithm. MIDI-B provides a platform for you to measure the automated removal of protected health and personally identifiable information from medical images.

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