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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.

3-D illustration of four cells, shown in blue with large red cell nuclei. Two cells are secreting small round bubbles from their surfaces. These bubbles represent exosomes, small cargo-carrying cell structures that have a part in diseases like cancer.

Seeking a Better Biopsy? NCI-Funded Researchers Are Using Machine Learning to Identify Exosome Biomarkers

NCI-funded researchers used machine learning to characterize a cancer biomarker based on exosomes. Their biomarker worked well using non-invasive sources, such as blood and urine, allowing the researchers to catch cancer early, even in tumors of undetermined origins.

A magnifying glass gives a close-up view of a strand of DNA. The DNA strand is set against a backdrop of buildings and houses, simulating a neighborhood. The illustration shows the value of understanding gene expression across the cell’s neighborhood.

Tool Unlocks Data’s Potential to Learn More About Cell Neighborhoods

See how a new NCI-funded tool is helping scientists learn more about spatial gene expression, enabling them to use these data to better understand how cells relate—with their neighbors and within the tumor environment.

Headshot of Warren Kibbe, Ph.D.

Announcing NCI’s New Deputy Director for Data Science and Strategy

NCI has a new data science leader as of June 30, 2024! Meet Dr. Warren Kibbe. He’s bringing a wealth of experience to a brand new position at NCI—with the goal of advancing the use of data and data science in cancer research and care.

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.

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.

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.

A DNA strand is seen radiating from a toolbox full of tools. Illustration shows how scientists have many tools for use in DNA analysis.

MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

Headshot of Dr. Jill Barnholtz-Sloan

Dr. Jill Barnholtz-Sloan Named CBIIT’s Acting Director

Dr. Jill Barnholtz-Sloan is CBIIT’s new acting director following Dr. Tony Kerlavage’s retirement last week. In addition to this role, Dr. Barnholtz-Sloan maintains her responsibility as associate director for the Informatics and Data Science Program and senior investigator in the Division of Cancer Epidemiology and Genetics, Trans-Divisional Research Program.

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.

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