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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.

A doctor presents a laptop displaying a prostate image. Small icons around the laptop represent items found in clinical medicine, including a syringe, a microscope, medical scans, a doctor’s bag, and a nurse’s cap. Denotes the idea of bringing technology into clinical practice.

Artificial Intelligence (AI) Model for Prostate Cancer Shows Feasibility in Clinical Setting

Think AI is still out of reach for most clinicians? A new NCI study examines the feasibility of bringing AI to the clinic, using a publicly available platform and an AI-assisted model for detecting prostate cancer on MRI scans.

imaging of breast cancer tumor

Study Helps Further Define the Role for Artificial Intelligence (AI) in Detecting Breast Cancer

What’s the best role for AI in screening for breast cancer? This study, partially funded by NCI, helps define that role by looking at how well AI performed in finding hard-to-detect cancers.

Magnetic resonance image of glioblastoma, shown as a large mass on the upper right-hand side of the brain.

Researchers Use AI-based Modeling to Assess Treatment and Predict Survival from Glioblastoma

Want to use your data science skills to find better cancer treatments? See how these NCI-funded researchers working with artificial intelligence (AI) used information from a survival model to refine treatment for glioblastoma.

3D rendering of human cells under a microscope.

Cell2Cell Helps Researchers Visualize Relationships Between Tumor and Immune Cells

Learn about this NCI-supported, comprehensive visual and interactive system for analyzing cell-to-cell interactions in 3D image data.

The letters "A.I." hover overtop a keyboard. A finger checks the first of three boxes that appear to the right. Image signifies the importance of adhering to guidelines when developing artificial intelligence.

NCI Helps Establish Guidelines for Artificial Intelligence (AI) Models for Prostate Cancer

Having trouble discerning what makes a successful AI model? NCI is leading the way in developing concrete guidelines for building, evaluating, and reporting on AI-assisted prostate imaging models.

Spyglass hovers over a strand of double helix strand of DNA.

NCI-Funded Pipeline Applied to Microscopic Images Helps Manage Micronuclei

See how a new AI-driven tool can help you measure micronuclei and similar structures to study their underlying biology, enabling you to more efficiently measure and characterize these tiny structures.

Two hands shaking, with the letters “AI” in the forefront. Signifies a new public-private partnership using artificial intelligence.

NCI Clinical Trials Get a Boost from Public-Private Partnership

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.

holographic icons representing various types of medical imaging data, with a person with a finger raised to tap one.

Validate and Test your DICOM De-Identification Algorithms Using the MIDI Benchmark

Use the Medical Image De-Identification Benchmark (MIDI-B) to assess the effectiveness of your DICOM image de-identification tool or algorithm. MIDI-B provides a platform for you to measure the automated removal of protected health and personally identifiable information from medical images.

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.

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