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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.

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.

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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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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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.

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.

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Radiologists at Center of AI Systems for Better Cancer Diagnoses

An NCI-funded project wants to increase diagnostic accuracy, reduce missed cancer diagnoses, and improve public health by changing the design of artificial intelligence (AI) medical systems to work with radiologists.

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NCI-Funded Challenge Advances Artificial Intelligence for Cancer Detection

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

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Apply for Administrative Supplements to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data

Check out this updated Notice of Special Interest if you’re interested in supplemental funds for activities that will make NIH-supported data usable for artificial intelligence and machine learning analytics!

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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!

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New AI Tool Helps Interpret Pathology Slides to Predict Cancer Recurrence

NCI-funded researchers combined long-term, patient-outcome data with pathology slides from people with colorectal cancer to develop a machine learning tool, called QuantCRC. Using QuantCRC, researchers could predict if a patient’s cancer would recur based on analysis of a single hematoxylin and eosin stained slide of the tumor.

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