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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.

Person typing on laptop. Screens reads "AI" with a data science background

Radiologists at Center of AI Systems for Better Cancer Diagnoses

An NCI-funded project wants to increase diagnostic accuracy, reduce missed cancer diagnoses, and improve public health by changing the design of artificial intelligence (AI) medical systems to work with radiologists.

A low-poly torso design of a female made of interconnected lines and points on a blue background.

NCI-Funded Challenge Advances Artificial Intelligence for Cancer Detection

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

Blue background with white text that reads, "Supplemental Funding Opportunity Available"

Apply for Administrative Supplements to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data

Check out this updated Notice of Special Interest if you’re interested in supplemental funds for activities that will make NIH-supported data usable for artificial intelligence and machine learning analytics!

Blue background, "AACR Annual Meeting 2023"

NCI Data Science at the 2023 AACR Annual Meeting

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!

Pathology image of H&E stained slide showing colorectal cancer

New AI Tool Helps Interpret Pathology Slides to Predict Cancer Recurrence

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.

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.

New Deep Learning System Proves Accurate in Predicting Suspected Breast Cancer

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.

Artists interpretation of an AI algorithm. Shows three lines feeding into a circle with a cog in the center. A single line exits the circle. Shows how differing inputs help inform one answer.

SPHINKS: AI Algorithm Uses Kinase Activity to Tailor Glioblastoma Treatment

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

MRI image of the prostate showing segmentation of the core and peripheral zones.

New Contract Opportunity to Obtain Medical Image Segmentations

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.

Figure shows CT scans and corresponding 3-D renderings of tumor vasculature for people who responded to therapy vs. those who didn't. Tumor vasculature in non-responders had more twists and turns than those who responded to treatment.

Tumor Twistedness Serves as AI-Based Biomarker for Lung Cancer Immunotherapy

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

Stylized image shows a strand of DNA next to a drawing of a liver. Illustrates the idea that DNA may aid in detecting liver cancer.

DNA Fragmentome Data—A New Omics AI Technology for Detecting Cancer

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.

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