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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.

An illustrated colon is shown, cradled in the outstretched hands of a doctor wearing a white lab coat.

Machine Learning Helps Refine a New Approach for Early Colorectal Cancer Screening

NCI-funded researchers are using machine learning to help identify an early-warning screening approach for colorectal cancer.

A stick drawing of a person is shown inside an imaging machine. Circles with dots and dashes encircle the image, designating a high-tech approach to cancer imaging.

See What’s New in NCI’s Imaging Data Commons (IDC)

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

open laptop with a picture of a brain and data charts on the screen. There are also other data themed icons including a data cloud, gears, and a magnifying glass.

Participate in the NCI Medical Image De-Identification Benchmark Challenge at MICCAI 2024

Explore this challenge if you’re a software tool developer interested in assessing how well your tool de-identifies medical images.

Abstract illustration showing breast cancer and how it might spread to nearby lymph nodes.

Machine Learning Blends Imaging and Clinical Data to Refine Breast Cancer Care

A new machine learning model blends image data with clinical and pathological information to tailor care for patients with breast cancer.

Spyglass over an illustrated pancreas. Symbolizes the research underway to better understand the pancreas and pancreatic cancer.

Automated AI Model Aids in Early Detection of Pancreatic Cancer

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.

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.

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!

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.

Homepage of the NCI Imaging Data Commons (IDC). On the left is a black and white image of Computed Tomography. In the middle are silhouttes of male and female bodies, highlighting main organs. On the right shows a colorful chart that outlines the number of cases by body site that are available for viewing in the NCI IDC.

Rhabdomyosarcoma Images Now Available Through NCI’s Imaging Data Commons

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.

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