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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.

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.

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.

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.

Data points and lines are used to illustrate the figure of a woman, with highlighted circles to indicate breasts and the acronym “AI” appearing at the top.

Multidisciplinary Team Develops Model to Predict Breast Cancer Outcomes

Are you interested in developing a machine learning model to predict disease? Get advice from researchers who built a successful model for predicting breast cancer outcomes.

close-up of computer chip

Opportunity for Data Scientists to Apply for AI Codeathon

If you’re a data scientist interested in artificial intelligence and machine learning codeathons, apply for this opportunity to build a solution for cancer!

An open laptop displays the CRDC Imaging Data Commons homepaage.

NCI’s Imaging Data Commons Helps Address Challenges in Computational Pathology

Having trouble reproducing results from machine learning (ML) computational pathology studies? See how NCI’s Imaging Data Commons may be able to help, as evidenced by a new study.

Data themed connectivity icons in background. Text reads, Request for Information

Deadline Extended: Tell Us if NCI Cancer Research Data Commons’ Data are Compatible with AI

NCI wants your input to help determine how compatible NCI’s Cancer Research Data Commons is with artificial intelligence applications. Explore this request for information to learn how to contribute!

Deep learning model. Several interconnected points.

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.

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.

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