News

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

See how NCI-funded researchers built on previous studies to create a new model (called SMuRF) for head and neck cancer. Their model offers a new, more human-like, perspective to assessing head and neck cancer.

Read about a new collaboration between NCI and a company that develops AI-powered solutions for cancer diagnostics and therapeutics. NCI will be applying these tools to help advance research into personalized treatment for patients with cancer.

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.

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.

Screening for the best medication for your patient could be more efficient thanks to a new model called “BATCHIE.” See how machine learning is helping boost precision medicine for cancer.

Would you use AI to help make decisions about cancer treatment? Check out this recent study on the complex AI-human interaction that’s at play when making decisions about treatment.

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.

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.

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.

An NCI-funded study shows that KBP models can automate radiation therapy, thereby producing high-quality plans to improve cancer treatment efficiency and reduce human workload.