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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.

Tissue biopsy segmentation of a human lung. Blue and green shading shows different cell types and structures. Cell boundaries are outlined in white.

All-in-One Model Helps Identify, Classify, and Analyze Cancer Tumor Tissue

Interpreting tissue biopsies may be easier using this NCI-funded tool. It features an end-to-end approach for automatically analyzing cancer cells and tissues.

Light-colored immune cells surround and infiltrate brightly colored orange cancer cells. This denotes the concept of immunotherapy.

NCI-Funded Tool Helps to Advance Neoantigen Therapies

Whether you’re researching a neoantigen, or looking to identify new therapeutic candidates, there’s a new NCI-funded tool, called “pVACview,” that may be able to help.

Illustrated liver shows points of light, connected by brightly colored lines. Signifies how researchers are using data and technology to better understand liver cancer.

Machine Learning Helps Boost Accuracy for Liver Cancer Screening

With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.

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.

laptop that shows charts, pie graphs, and line graphcs

Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

Scientists hand holds an illustrated set of lungs. The lungs are illuminated and include bright pinpoints of light. Illustrates the idea of using AI to better understand lung disease.

Model Uses Blood Proteins to Predict Lung Cancer Risk

A new algorithm is showing promising results in predicting lung cancer. See how proteins in your blood may someday help determine your risk for lung cancer.

icon representing the NIH Common Fund

Create Educational Courses and Encourage the Use of Common Fund Data Sets

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

search data base icon with neon purple and blue tech background

Search Engine Tool Targets Peptide in Mass Spectrometry Proteomic Data Sets

PepQuery2 is a proteomics tool that enables rapid and targeted identification of both known and novel peptide sequences in proteomics data sets. The tool aims to provide valuable data sets for the broader research community by making public proteomics data more accessible and user-friendly.

Artists interpretation of an AI algorithm. Shows three lines feeding into a circle with a cog in the center. A single line exits the circle. Shows how differing inputs help inform one answer.

SPHINKS: AI Algorithm Uses Kinase Activity to Tailor Glioblastoma Treatment

NCI-funded researchers have developed a new artificial intelligence algorithm that’s helping identify the underlying biological causes of glioblastoma.

DNA

New Contract Opportunity to Maintain the CPTAC Assay Portal and Integrate New Data

Support the maintenance and enhancements of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Assay Portal, including the assay characterization data within it, through a new contract opportunity. Your proposal is due March 28, 2023.

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