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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 cancer cell is highlighted in orange against a blue background that consists of other cancer and immune cells. The orange cell is in crosshairs, indicating that it’s being targeted for destruction.

DREAM Challenge Benchmarks Approaches for Deciphering Bulk Genetic Cancer Data

Deciphering bulk data is challenging. See how a recent DREAM challenge is helping researchers benchmark bioinformatics and data science approaches for unraveling bulk genetic cancer data.

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

NCI-Funded Algorithm Helps Track Down Coding and Non-Coding Cancer-Causing Genes

Are you investigating structural variations underlying cancer-causing genes? NCI-funded researchers are testing a new algorithm that could help you track down both coding and non-coding cancer-causing genes.

Silhouette of a dog and little girl sitting in the grass and facing one another.

Machine Learning Reveals Shared Traits of Osteosarcomas in Pet Dogs and Humans

Looking for new data sources for your machine learning model? NCI researchers combined data from dogs and people to identify risk factors for osteosarcoma.

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.

GammaGateR helps identify biomarkers in multiplexed immunofluorescence images. Image shows markers in red and blue within a single slide sample.

GammaGateR Helps Decipher Imaging Data

Looking for an easier way to sort and quantify key cellular information from immunofluorescent images? NCI-funded researchers have a new semi-automated tool, called “GammaGateR,” that may help.

Multimodal image of cancer tumor cells shows how the Orion tool is able to combine two types of images—hematoxylin and eosin and immunofluorescence—in a single slide.

NCI-Funded Tool Combines Imaging Modalities to Aid Pathologists and Machine Learning (ML)

An NCI-funded technology blends specific molecular markers along with traditional morphological features in the same cells and in one digital slide. This tool could someday help pathologists and ML models better predict cancer treatment response and outcomes.

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.

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.

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