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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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NCI Digital Twins Sessions at Bio-IT World

Hear the latest in digital twin development, technologies, and applications at Bio-IT World Conference and Expo.

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NCI Funding Opportunities for Measuring the Validity of Currently Existing Digital Health and AI/ML Technologies

NIH Institutes and Centers (including NCI) are interested in the validity, reliability, and utility of digital health tools and artificial intelligence/machine learning (AI/ML) technologies. You can apply for NCI funding to support the validation of these technologies for cancer research.

AACR Annual Meeting

NCI Data Science at the 2024 AACR Annual Meeting

Are you planning to attend this year’s American Association for Cancer Research (AACR) Annual Meeting? Make sure to add these NCI-affiliated data science activities to your schedule!

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Up to $50k in Prizes for AI-Readiness Challenge on NCI Data

Participate in the upcoming challenge to assess NCI Cancer Research Data Commons' compatibility with AI/ML technologies.

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Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

A circle contains a syringe, a pill bottle, and a strand of DNA—illustrates how researchers are using genetics to find new and better ways of treating cancer.

Machine Learning Models Help Predict Medication Responses

What if you could predict how a chemotherapy drug would work—in terms of sensitivity and side-effects—before you ever use it? NCI-funded researchers are using machine learning models to better understand a key mechanism underlying cancer, giving us new ways to predict responses to common chemotherapy drugs.

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New Regulations Aim to Make AI Models More Useful, Less Biased

Are you working on artificial intelligence (AI) solutions for cancer care? Check out these guidelines from the Office of the National Coordinator for Health Information, which should help make AI in clinical care more transparent.

Automatic segmentation of the liver from CT scan of patient TCGA-DD-A1EH

New Artificial Intelligence and Medical Imaging Annotations Added to the NCI Imaging Data Commons

Explore a new interactive dashboard that includes data sets of advanced machine-generated segmentation of tumor and organ contents.

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Create Educational Courses and Encourage the Use of Common Fund Data Sets

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

A strand of DNA is featured, with two puzzle pieces fitting into place on each strand. Illustrates how researchers are fitting together all the pieces of what we know about genetics to get a more complete understanding of our DNA.

Epigenetics and Machine Learning Help Make Cancer Predictions

NCI-funded researchers are using a machine learning approach to predict cancer outcomes based on epigenetic data, which take into account both environmental and genetic influences.

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