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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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Eight Research Projects Receive Funding from NCI’s Childhood Cancer Data Initiative

The Childhood Cancer Data Initiative (CCDI) awarded administrative supplements to eight NCI-Designated Cancer Centers, enabling research that leverages the CCDI Data Ecosystem to address scientific questions and create analytical tools for advancing childhood cancer research.

Circular illustration shows the concept of a Genome Wide Association Study. The circle’s outlined by small blue, orange, green, and black stick figures representing a population. Within that circle is an orange and green string of DNA. At the center of the circle are the basic amino acids (ATGCA) and five black stick figures, illustrating the individual.

New Approach Helps Address Lack of Diversity in GWAS Cancer Data

In a recent study, NCI’s Dr. Haoyu Zhang describes CT-SLEB—a powerful and computationally scalable method for generating more precise polygenic risk scores across a range of ancestral groups (including Latino, African American, East Asian, and South Asian).

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Deep Learning Model Proves Useful in Head and Neck Cancer Care

Learn about this model that predicts survival and disease outcome in patients with head and neck squamous cell carcinoma.

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Deadline Extended: Submit Your Abstract for the Ninth Computational Approaches for Cancer Workshop by August 14

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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Personalized Calculator Predicts Oral Cancer Survival

Discover how SEER data and statistical models can help personalize oral cancer treatments.

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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.

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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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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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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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Deep Learning Model Helps Tailor Screening Protocol for Lung Cancer Risk

NCI-funded researchers collaborated with scientists from NCI’s Division of Cancer Epidemiology and Genetics and Division of Cancer Prevention on a study using a deep learning model to prioritize screening for lung cancer.

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