CBIIT News
Keep up with the latest news from CBIIT and the data science communities.
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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.
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These APIs aim to enhance data accessibility and integration for childhood cancer research, leading to advancements in treatments for pediatric cancer patients.
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NCI wants to hear about your experiences developing and implementing data management and sharing plans. Share your feedback by July 26, 2024.
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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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Learn how supercomputing and cancer research expertise helped transform a previously complex, ‘undruggable’ target into a promising, first-in-class medication.
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With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.
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Interpreting whole slide images can be a labor intensive and difficult task. A recent article describes a new approach that helps classify cancer and predict how it will progress.
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A recent study describes an algorithm that centers on transforming your data rather than tweaking your model.
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This two-phase challenge invites you and your team to propose and execute a secondary analysis/data reuse project to better understand the development and progression of diseases, such as cancer. Submit your idea by October 23, 2024.
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Welcome to the Index of NCI Studies: a new web application designed to gather and display cancer research publications, data sets, clinical trials, and patents from NCI-funded programs. Explore the application (currently in a pilot phase) and leave feedback!
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Are you interested in comparative oncology? NCI needs input on the future needs and directions of the Integrated Canine Data Commons. Submit a response by Thursday, December 1, 2022.
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We want to learn more about the resource and information you need to work in cancer data science.
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Do you work with imaging data and tools? Share feedback on NCI’s Imaging Data Commons!
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NCI is looking for cancer researchers, who need access to comparative oncology data sets, to give feedback on the Integrated Canine Data Commons (ICDC) data portal and its tools.