News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

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.

hands holding a cell phone that has a doctor on it, with decorative numbers and data in the foreground

Mobile Health Technology Notice of Funding Opportunity

Explore this NCI-supported funding opportunity if you’re interested in conducting a study on using mobile health technology to improve cancer outcomes in low- and middle-income countries.

Artists conceptualization of a digital twin. Shows the mirrored image of two heads. The only difference is one head is filled in with dots whereas the second head has spaces missing.

New Report Spotlights Research Gaps and Future Directions for Digital Twins

Interested in digital twin technology? Read this report for a “reality check” on what is currently known about the technology and what’s still missing.

Dark blue background with glitter. Text reads, "2023 NIH Director's Awards"

NCI Metadata Software and Services Team Recognized for Updating Metadata Infrastructure

The NCI CBIIT Metadata Software and Services team members received a 2023 NIH Director’s Award for restructuring metadata infrastructure and services to meet your needs.

icon representing the NIH Common Fund

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.

CCDI Data Entry

Know a Thing or Two About Data Automation and Electronic Health Records? Provide Input!

Help NCI’s Childhood Cancer Data Initiative better serve the cancer research and healthcare enterprise; provide your insight on the current capabilities of automated data entry and extraction from Electronic Health Records.

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.

Illustration of a man’s upper torso, highlighting the lungs. In the background are dots and dashes to signify data. Concept is used to show the value of data in assessing lung disease.

Deep Learning Model Helps Predict Lung Cancer

A new deep learning model, called CXR-Lung-Risk, proved useful in identifying people at risk for dying from lung cancer or other lung disease, based on a single X-ray image.

brain cancer imaging

The Cancer Imaging Archive Adds New Data

Discover new data collections available for you to use in your cancer research!

Dark red and orange informatics themed image with text that reads, "Funding Opportunities Announced"

2024 Informatics Technology for Cancer Research (ITCR) Funding Opportunities Announced

Are you looking for funding for your cancer informatics technology project? We highlight the most recent ITCR Funding Opportunity Announcements that may be right for you!

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