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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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Submit Your Abstract for the Ninth Computational Approaches for Cancer Workshop by August 9

CAFCW23 brings together data and computational scientists, cancer biologists, and developers interested in accelerating the progress of computationally and data-driven cancer research and clinical applications.

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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.

Funding Opportunity

Submit Your Data Research Proposals to Advance Health Equity and Researcher Diversity

Are you using cancer data or other emerging technologies to address health disparities? Maybe you’re a researcher from a minority or underrepresented group working in cancer data science? If so, NIH has new funding opportunities to help you in your work and make a difference in addressing inequities in public health and biomedical research.

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CCDI Central Hub Links Researchers to Childhood Cancer Data Resources

NCI’s Childhood Cancer Data Initiative has a new online Hub. If you’re a researcher, doctor, or citizen scientist, you now have quick-and-easy access to a rapidly growing inventory of data, tools, and resources on childhood cancer data.

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Give Your Feedback on a New Rule Related to Electronic Health Record Data

Do you work in the health technology field? The Office of the National Coordinator for Health Information Technology wants your input on a new rule related to electronic health data.

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Get NCI Support to Develop Technologies and Informatics Tools for Cancer Metabolomics

Cancer researchers can help NCI enhance cancer metabolomics research by applying for funding to develop innovative technologies and informatics tools.

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Publications Highlight the Power of Deep Learning for Cancer Drug Response Prediction

Explore these two articles, both published by members of the NCI and Department of Energy Collaboration!

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SEER Marks 50th Anniversary and Leverages New Data Technologies

NCI’s Surveillance, Epidemiology, and End Results (SEER) Program is marking 50 years of cancer surveillance research and launching three new initiatives that are likely to be of particular interest to the data science field. These efforts include a Virtual Tissue Repository, a Virtual Pooled Registry, and a partnership with the Department of Energy to develop application programming interfaces.

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NCI and DOE Support Study for Creating More Efficient Simulations of Cancer Protein Interactions

Researchers create a theoretical model to enable simulations based on Dynamic Density Functional Theory. This new model can help them understand the behavior of cancer-causing proteins better.

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Machine Learning Tool Offers Insight Into Cancer Treatment for Older Patients

NCI-funded researchers used a machine learning approach to identify patients who were most likely to benefit, or have adverse effects, from cancer treatment late in life.

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