News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

A hand is holding a tablet. Illuminating from the table is the image of a clock. This abstract image conveys how technology is helping monitor disease and predict the course of cancer over time.

AI, Genomics, and Clinical Data Help Track Cancer’s Evolution Over Time

An international team of researchers combined genomics, biopsy results, and artificial intelligence (AI) to track prostate cancer over time. Learn more about these “evolvability” metrics and how they could someday help predict cancer re-occurrence.

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Updates to NIH’s Genomic Data Sharing Policy

If you’re working with NIH genomic data, you’ll need to be aware of some new security requirements for data management and access that take effect on January 25, 2025. Learn more about how this could impact your work.

Jobs and Fellowships

New Resource for Data Science Employment and Fellowship Opportunities

Want to pursue a career opportunity in data science with NCI? Browse through federal and contractor roles, fellowships, and internships in our recently launched employment section!

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Funding Available for Software to Support Open Science

NIH has a new funding opportunity to help you develop robust, re-usable scientific software and tools to advance cancer research.

Image displays timeline of diverging treatment schedules seen for different patients. 1. is a computer with a data chart. 2. Data from patients goes into the cloud. 3. Data is analyzed. 4. Treatment options are produced based on data research.

NCI Study Shows Promise of Machine Learning’s Role in Personalized Cancer Treatment

NCI-funded researchers are blending mathematics with machine learning to refine cancer treatment. In the future, this kind of virtual tumor model could help to further personalize care for people with cancer.

MRI image of an enlarged prostate.

NCI Uses AI to Take the Guesswork Out of Assessing Prostate Cancer Images

NCI researchers are using artificial intelligence (AI) to uncover additional information from medical images. This helps them not only to diagnose cancer but also to predict how it will progress and if it will re-occur.

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NCI’s Childhood Cancer Data Initiative (CCDI) Releases New APIs

These APIs aim to enhance data accessibility and integration for childhood cancer research, leading to advancements in treatments for pediatric cancer patients.

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NCI Seeks Input on Data Management and Sharing Plans for Cancer Biology Research

Are you a cancer biology investigator? NCI wants to hear about your experiences developing and implementing data management and sharing plans. Share your feedback by July 26, 2024.

A strand of DNA is shown inside a brightly colored circle. A second circle highlights a portion of the DNA and is designated by an “+”. Depicts how high-tech tools are being used to better understand genetics.

Machine Learning Approach Helps Interpret Genome-Wide Dynamics

A new, scalable, machine learning model is helping scientists model thousands of transcription factors and genes in the human genome, providing new information on these genes and how they work/change over time.

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NCI-DOE and BridgeBio Researchers Leverage HPC to Power Cancer Drug Discovery

Learn how supercomputing and cancer research expertise helped transform a previously complex, ‘undruggable’ target into a promising, first-in-class medication. Researchers are now testing it in human trials.

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