News

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

Discover how the algorithms produced in this challenge performed in detecting breast cancer.

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

NCI-funded researchers combined long-term, patient-outcome data with pathology slides from people with colorectal cancer to develop a machine learning tool, called QuantCRC. Using QuantCRC, researchers could predict if a patient’s cancer would recur based on analysis of a single hematoxylin and eosin stained slide of the tumor.

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.

NCI-funded researchers have developed a new artificial intelligence algorithm that’s helping identify the underlying biological causes of glioblastoma.

NCI is seeking support for developing machine-generated segmentations of images in the radiology collections of the Imaging Data Commons (IDC). Submit your proposals by March 10, 2023.

Using data from routine lung scans, NCI-supported researchers developed an AI-based tool to help predict how patients will respond to therapy.

NCI-funded researchers validated a genome-wide artificial intelligence technology that could help in early detection of hepatocellular carcinoma—the most common type of liver cancer.

With help from NCI’s Small Business Innovation Research (SBIR) program, researchers are refining a biophysical simulation technology using computational models for personalized cancer care.

A new $14 million project, funded by NIH’s Bridge2AI program, is turning the traditional biomarker concept on its ear. Instead of examining genetic or similar molecular characteristics, researchers are collecting data to look for voice biomarkers that can be linked to cancer.