News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Double stranded DNA forms a question mark. Denotes the study of genetics for better understanding how cancer develops and progresses.

NCI-Funded Researchers Test Platform to Help Reveal Non-Coding Genes Involved in Cancer

NCI-funded researchers are testing a new platform that blends statistical and deep learning models, giving you a fuller picture of the variants driving cancer progression.

X-Ray scan of a human displaying a tumor in the brain

New Insight on Cancer Development and Treatment Resistance from HTAN Publications

Read this recently released collection of 13 studies to learn more about NCI’s Human Tumor Atlas Network (HTAN). You’ll gain insights into tumor development, progression, and treatment responses through advanced research methodologies and 3D tumor atlases.

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.

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.

Gene sequence features brightly colored squares against a black background; shows genes in the human genome.

NCI-Funded Tool Helps Characterize Noncoding Elements that Impact Cancer Genes

Want to learn more about the noncoding regions of DNA that impact cancer and its resistance to treatment? A new NCI-funded computational tool called “MethNet” may help.

Double helix DNA molecule is shown in three dimensions set against a background of blue and gold.

Analysis Tool Aids in Identifying Genes that Hijack Enhancers

Looking for a new tool to help you better understand the genes that drive cancer? See how this NCI-funded tool called “HAPI” can help you spot structural changes linked to hijacked enhancers—bits of DNA that move from one location to another to boost overexpression of cancer-causing genes.

Two women in lab coats and gloves using a microscope.

NIH Quantum Computing: New Frontiers in Biomedical Research Innovation Lab

Apply for this NIH-supported opportunity to help advance the use of quantum computing to tackle real-world biomedical research problems, including cancer research.

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.

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