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

Explore a resource that lets you search for data challenges that address areas of unmet medical need!

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!

In a recent study, NCI-funded researchers applied an artificial intelligence model to lung screening computed tomography images to assess body composition. The team used two key indicators of health—skeletal muscle and fat (adipose) tissue—to predict death from lung cancer, cardiovascular disease, and other causes.

With the help of an NCI SBIR grant, Enspectra Health, Inc., is blending deep learning algorithms with existing imaging technology to create a new way of obtaining a virtual biopsy.

NCI-funded researchers used artificial intelligence to develop an accurate cancer estimation map for defining tumor margins. They found their model outperformed conventional estimates of tumor margins using imaging alone.

NCI-funded researchers looked at the impact of racial and ethnic bias on algorithms that help clinicians make more informed decisions when caring for patients with colorectal cancer. They found that removing the race and ethnicity variable could lead to higher bias in the model’s performance.

In an NCI-funded study, mammography artificial intelligence (AI) algorithms generated a five-year breast cancer prediction that was better than a clinical risk model.

How can artificial intelligence assist in treating breast cancer? Learn more about the $3.3 million NCI grant awarded to help advance research into drug therapy.

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.

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.