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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.

AACR Annual Meeting

NCI Data Science at the 2025 AACR Annual Meeting

See when and how you can access NCI’s data science sessions at the 2025 American Association for Cancer Research Annual Meeting!

3D illustration of an upper torso showing spine, lungs, and heart. A popup image of lung cancer shows what a cancerous tumor looks like under a microscope.

Deep Learning Model CGS-Net Enhances Medical Image Analysis

Learn how CGS-Net can assist in diagnosing cancer by incorporating contextual information for more accurate segmentation in medical images.

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Podcast Explores NCI’s AI-Powered Support for Cancer Screenings and Strategies to Alleviate Cancer Burden

NCI’s Division of Cancer Control and Population Sciences is using artificial intelligence (AI) to improve cancer screening methods and enhance patient outcomes. To learn more, listen to this GovCIO-hosted podcast.

Woman wearing a blue sweater and round glasses sitting at a laptop. Cloud computing icon and data elements overlay the back of the screen to represent to show she's uploading and transferring data from computer to cloud.

Promote and Reward Data Sharing Through the NIH Data Sharing Index (S-index) Challenge

Help advance the NIH mission by promoting data sharing and developing a metric to reward outstanding data sharers.

Clinician sits behind a laptop. Above the laptop is the emblem of a shield, surrounded by blue crosses. A syringe is superimposed on the shield and the doctor is pressing the emblem with his finger. Denotes how AI is helping doctors select treatment for their patients.

Artificial Intelligence (AI) Model “SCORPIO” Uses Blood Test to Predict Immunotherapy Benefits

Thanks to a new AI model called “SCORPIO,” you may someday be able to use a simple blood test and routine clinical information to decide which patients will benefit from immunotherapy.

Example of nuclear wrinkling shows cells with oddly shaped nuclei.

NCI-Funded Researchers Use Artificial Intelligence (AI) to Untangle Nuclear Wrinkles

NCI-funded researchers are applying AI to digital pathology images to better understand cellular features, such as “nuclear wrinkling.” Such extreme wrinkling and folding is a hallmark of cancer.

3D rendered illustration of a woman's mammary glands and cancer

Mathematical Model Predicts Breast Cancer Response to Chemotherapy Drug

A new computational model reveals how local tumor conditions impact therapy effectiveness.

Three dimensional rendering of a cancer tumor displaying the many different types of cells (signified by different colors and shapes) in the tumor cell microenvironment. The brightly colored cells are shown woven together into a ball, with additional cells orbiting the ball; red vasculature is shown both within the tumor and connecting to bloodstream.

Artificial Intelligence (AI) Model, “HistoTME,” Aids in Predicting Response to Immunotherapy

NCI researchers debuted a new deep learning model that could help you decipher the cancer tumor’s microenvironment. The model holds a lot of promise for predicting which patients are most likely to benefit from checkpoint inhibitors.

Doctor holds laptop showing a high-tech image of a prostate in red. Small icons are in the background showing all the ways that technology can help in improving healthcare. Those icons show medications, health care, diagnoses, treatment, genetics, and more.

Updated NCI Model Gains Greater Precision in Diagnosing Prostate Cancer

See how NCI researchers are working to find new ways of interpreting biopsies and managing prostate cancer. This recent model could lead to a more precise approach, reducing the need for additional and often unnecessary biopsies.

Doctor looks at an image on a screen showing the letters "AI," along with chemical structures, charts, and graphs. Illustrates the blending of biomedical science with technology.

NCI Study Examines Artificial Intelligence (AI) Versus Radiologists in Assessing Tumors

Wondering how to use AI for radiology? In a new study, NCI researchers found that AI may work best as an adjunct to the radiologist rather than a standalone solution, allowing radiologists to focus on cases that need more critical assessment.

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