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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.

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.

Colored lines and shapes are highlighted against a dark background. Depicts the topic, "bioinformatics,” a technology that uses a computational approach to find new healthcare solutions.

NCI Researchers Reflect on the Cancer Informatics Field

Want to learn more about bioinformatics? Tap into these two newly published articles to see what some prominent researchers are saying about the field and where it’s headed.

Tool is fitted inside a cog, shown against a background of data points connected by lines. Denotes a data science toolkit.

ARPA-H Biomedical Data Fabric (BDF) Toolbox Program Announces Awardees

Construction of the Advanced Research Projects Agency for Health’s (ARPA-H’s) BDF Toolbox program is well underway. ARPA-H has awarded contracts to nearly 20 teams—representing academia, nonprofits, and commercial organizations—who are tackling a broad range of projects, many of which are directly related to cancer research.

Image of a human head. Three areas in the brain are colored red to signify brain tumors. The tumors are set against a background of lines denoting artificial intelligence.

NCI Funding Helps Bring New AI-Aided Device for Glioblastoma to Market

Thanks to funding from NCI’s Small Business Innovation Research program, a new tool recently received FDA clearance. See how this cyber device could help you with artificial intelligence (AI)-guided glioblastoma segmentation.

A hand is holding a tablet. Illuminating from the table is the image of a clock. This abstract image conveys how technology is helping monitor disease and predict the course of cancer over time.

AI, Genomics, and Clinical Data Help Track Cancer’s Evolution Over Time

An international team of researchers combined genomics, biopsy results, and artificial intelligence (AI) to track prostate cancer over time. Learn more about these “evolvability” metrics and how they could someday help predict cancer re-occurrence.

Image displays timeline of diverging treatment schedules seen for different patients. 1. is a computer with a data chart. 2. Data from patients goes into the cloud. 3. Data is analyzed. 4. Treatment options are produced based on data research.

NCI Study Shows Promise of Machine Learning’s Role in Personalized Cancer Treatment

NCI-funded researchers are blending mathematics with machine learning to refine cancer treatment. In the future, this kind of virtual tumor model could help to further personalize care for people with cancer.

MRI image of an enlarged prostate.

NCI Uses AI to Take the Guesswork Out of Assessing Prostate Cancer Images

NCI researchers are using artificial intelligence (AI) to uncover additional information from medical images. This helps them not only to diagnose cancer but also to predict how it will progress and if it will re-occur.

A strand of DNA is shown inside a brightly colored circle. A second circle highlights a portion of the DNA and is designated by an “+”. Depicts how high-tech tools are being used to better understand genetics.

Machine Learning Approach Helps Interpret Genome-Wide Dynamics

A new, scalable, machine learning model is helping scientists model thousands of transcription factors and genes in the human genome, providing new information on these genes and how they work/change over time.

Data center full of rack servers and super computers in rows.

NCI-DOE and BridgeBio Researchers Leverage HPC to Power Cancer Drug Discovery

Learn how supercomputing and cancer research expertise helped transform a previously complex, ‘undruggable’ target into a promising, first-in-class medication. Researchers are now testing it in human trials.

Magnifying glass with the word “Bias” written on it hovers over a group of figures. Depicts the importance of searching for (and correcting) bias when developing a machine learning model.

Algorithm Helps Address Bias in Machine Learning

Are you developing machine learning and looking for ways to make your model generalizable to a diverse population? A recent study describes an algorithm that centers on transforming your data rather than tweaking your model.

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