News

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

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Apply for Supplemental Support to Develop Software Tools for Open Science

Are you working on software tools to promote open science in cancer research? NCI has issued a Notice of Special Interest offering supplemental funding for work in this area. The application due date is May 9, 2023.

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NCI Data Science at the 2023 AACR Annual Meeting

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

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Apply for Supplemental Support for Enhancing NIH Cloud Research

Apply by April 11 for administrative supplemental funding to explore and test new opportunities for leveraging cloud-based solutions for NIH-funded research.

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New AI Tool Helps Interpret Pathology Slides to Predict Cancer Recurrence

NCI-funded researchers combined long-term, patient-outcome data with pathology slides from people with colorectal cancer to develop a machine learning tool, called QuantCRC. Using QuantCRC, researchers could predict if a patient’s cancer would recur based on analysis of a single hematoxylin and eosin stained slide of the tumor.

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Give Input on the Plan to Enhance Access to Data and Other Results of NIH-Supported Research

NIH wants to hear from you about the NIH Public Access Plan, which shows how to accelerate access to federally supported scientific data and research.

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Grant Opportunities to Develop Informatics Technology for Cancer Control and Population Sciences

See if any of the available grants highlighted in this Notice of Special Interest are a good fit for your data science work.

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New Deep Learning System Proves Accurate in Predicting Suspected Breast Cancer

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.

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New Deep Learning Tool Accurately Classifies Tumor Types

NCI-DOE Collaboration researchers, using data from the Genomic Data Commons, have developed TULIP: a deep learning tool for classifying human RNA-seq-based tumor types.

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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.

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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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