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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.

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.

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.

Person touching a hologram of data points with the word "AI" above

NCI Leaders Discuss Maximizing Data Utility

Here at NCI, how are we maximizing data utility? Two of our leaders comment on the ways we’re making data ready for use with artificial intelligence (AI), more valuable to the cancer research community, and more!

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.

Tissue biopsy segmentation of a human lung. Blue and green shading shows different cell types and structures. Cell boundaries are outlined in white.

All-in-One Model Helps Identify, Classify, and Analyze Cancer Tumor Tissue

Interpreting tissue biopsies may be easier using this NCI-funded tool. It features an end-to-end approach for automatically analyzing cancer cells and tissues.

Image of a biopsy showing prostate cancer. Cancerous cells appear as solid sheets of purple, with irregular patterns and arrangements.

NCI-Funded Researchers Develop Transformer Model to Decipher Whole Slide Images

NCI-funded researchers developed a new model called “SEQUOIA” that’s helping capture detailed data from whole slide images. See how this technology could someday be the solution to better biopsies.

head in profile with imaging of brain with a tumor in it.

FastGlioma Offers a Look at What NCI Funding is Doing for Cancer Care

Explore a new artificial intelligence model for detecting gliomas in tissue samples during brain surgeries.

MRI image of an enlarged prostate.

NCI Researchers Test Generalizability of Artificial Intelligence (AI) Model

The hallmark of a good AI model is its ability to work the same in different groups, settings, and situations. See how these NCI researchers used in-house and external images to test their prostate model’s generalizability.

3D rendering illustation of the inside of a male body highlighting the pancreas and tumors.

Computational Modeling Identifies Key Processes in Growth of Pancreatic Cancer Precursor Lesions

This discovery could impact our understanding of the progression of pancreatic cancer and guide future research and treatment strategies.

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