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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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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.

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!

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.

Data center full of rack servers and super computers in rows.

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.

Illustrated liver shows points of light, connected by brightly colored lines. Signifies how researchers are using data and technology to better understand liver cancer.

Machine Learning Helps Boost Accuracy for Liver Cancer Screening

With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.

Artist illustration of lungs set against a background of a stained pathology slide.

NCI-Funded Researchers Develop a New Model for Interpreting Pathology

Interpreting whole slide images can be a labor intensive and difficult task. A recent article describes a new approach that helps classify cancer and predict how it will progress.

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