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

Do you specialize in pancreatic cancer? See how researchers are using artificial intelligence to find undetectable cancers on scans of seemingly normal pancreases, long before clinical symptoms are visible.

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

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.

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

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.

You can now access images from patients who participated in Children’s Oncology Group trials and get metadata and accompanying clinical data. The gene panel sequencing data is available through the database of Genotypes and Phenotypes.

Learn about this model that predicts survival and disease outcome in patients with head and neck squamous cell carcinoma.

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.

The Integrative Tumor Epidemiology Branch of the NCI Division of Cancer Epidemiology and Genetics wants to fill multiple doctoral bioinformatics scientist positions.

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.