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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.

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NCI Study Shows AI-Assisted Contouring Improves Prostate Cancer Treatment Efficacy

In the study, artificial intelligence (AI)-assisted contours outperformed manual contours, indicating the technology’s potential to enhance treatment strategies and improve outcomes for patients.

two people, one in a lab coat one in regular clothes, looking at a tablet. Data themed icons in background.

Predicting Cancer Treatment Responses with AI Tool PERCEPTION

Discover a new AI-driven tool that uses single-cell RNA data to help predict patient responses to cancer treatments.

Graphic depicts the evaluation of AI. A scale is shown at the center of the graphic. The scale weighs the accuracy of AI (“accuracy” positioned to the left of the scale and depicted as the letters “A-I” within cogwheels) and the results/what’s learned of AI (“results” positioned to the right of the scale and portrayed as a human brain). Arrows encircle the top and bottom of the scale, illustrating a cycle.

Evaluating Diversity in an Artificial Intelligence (AI) Model for Breast Cancer

Can you develop an algorithm that applies to every patient, in every situation? A recent study shows the importance of adding diversity to your data when developing AI models.

The letters "AI" appear in a box. Brightly colored lines feed into the box from all sides, showing how data flows into the box, where the information is then processed by AI.

Interpretable AI Helps Predict the Effectiveness of Immunotherapy

Learn about NCI’s LORIS, a new artificial intelligence-approach to help you predict how a patient will respond to immunotherapy.

A person wearing a stethoscope sits at a lap top computer. Above the keyboard are a number of small icons and dotted lines, signifying artificial intelligence. The letters "AI" appear just above the keyboard.

Artificial Intelligence Aids in Predicting Prostate Cancer

See how NCI researchers are using artificial intelligence to develop tools that may someday help oncologists make more informed decisions when caring for people with prostate cancer.

An illustrated colon is shown, cradled in the outstretched hands of a doctor wearing a white lab coat.

Machine Learning Helps Refine a New Approach for Early Colorectal Cancer Screening

NCI-funded researchers are using machine learning to help identify an early-warning screening approach for colorectal cancer.

CAFCW24

What is Healthy AI? Submit Your Abstract by August 9 for the Tenth Computational Approaches Workshop

CAFCW24 is an opportunity to collaborate with experts in data science, computational biology, artificial intelligence (AI), computer science, and other disciplines to drive cancer research and innovation.

A stick drawing of a person is shown inside an imaging machine. Circles with dots and dashes encircle the image, designating a high-tech approach to cancer imaging.

See What’s New in NCI’s Imaging Data Commons (IDC)

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

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Submit Proposals by October 3 for the “Smart Health and Biomedical Research” Initiative

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due October 3, at 5:00 p.m. (submitter’s local time).

An image above the keyboard shows a pattern of interconnected wires with the letters "AI" in the middle, designating artificial intelligence. The image shows how doctors may someday interact with AI to provide patient care.

Survey Reveals Oncologists’ Views on Using Artificial Intelligence (AI) for Cancer Care

Are you ready to introduce AI into your practice? NCI-funded researchers recently conducted a survey to help shed light on how oncologists feel about using AI in cancer care.

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