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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.

Futuristic depiction of machine learning in clinical practice. Here, a doctor presses symbol showing a pancreas while other images appear in the background, including a calendar, dialog boxes, patients, and medical cross.

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.

Icon of CCDI Ecosystem shows three circles connected together to represent a network of people working in childhood cancer

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.

Data themed imagery with text reading, "New Publications Available"

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!

Illustration shows the words "Machine Learning" against a blue background of different icons illustrating the process of machine learning.

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.

Drawing shows lungs centered between two discs representing AI.

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.

graphic in shades of blue with digital breast cancer theme

NCI-Funded Challenge Advances Artificial Intelligence for Cancer Detection

Discover how the algorithms produced in this challenge performed in detecting breast cancer.

Blue background, "AACR Annual Meeting 2023"

NCI Data Science at the 2023 AACR Annual Meeting

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

Artists interpretation of an AI algorithm. Shows three lines feeding into a circle with a cog in the center. A single line exits the circle. Shows how differing inputs help inform one answer.

SPHINKS: AI Algorithm Uses Kinase Activity to Tailor Glioblastoma Treatment

NCI-funded researchers have developed a new artificial intelligence algorithm that’s helping identify the underlying biological causes of glioblastoma.

Figure shows CT scans and corresponding 3-D renderings of tumor vasculature for people who responded to therapy vs. those who didn't. Tumor vasculature in non-responders had more twists and turns than those who responded to treatment.

Tumor Twistedness Serves as AI-Based Biomarker for Lung Cancer Immunotherapy

Using data from routine lung scans, NCI-supported researchers developed an AI-based tool to help predict how patients will respond to therapy.

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