CBIIT Cancer Data Science Pulse Blog
A data science blog featuring news and updates from CBIIT.
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Applying Artificial Intelligence (AI) to Whole-Body Images to Reveal Rare CancersLearn how AI-assisted whole-body imaging may someday help not only in detecting cancer, but also in planning, tracking, and managing more precise treatments.
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Many Hands Make Light Work: Your Role on a Cancer Data Science Research TeamA multidisciplinary team consists of many different responsibilities. Where do you fit in?
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Building Infrastructure that Works—Lessons Learned from Project MATCHNCI’s Project MATCH initiative helped pioneer the concept that people in clinical trials could be matched (based on their genetic makeup) to medications specifically tailored to their needs and situations.
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NCI’s IMMUNOtron—The Making of a Machine Learning (ML) Robotics ToolML models feed on large amounts of quality data, which can be scarce. Meet IMMUNOtron, a ML-robotic platform that’s helping NCI researchers generate and process high-quality data to better understand the immune system’s response to cancer.
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Using the Cloud for Cancer Research—Overcoming Common BarriersLearn tips for overcoming obstacles using the cloud, along with an example of how you can make the cloud work for you.
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Whose Data Is It, Anyway?The Office of Data Sharing discusses data ownership and data sharing resources for supporting research.
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Digital Twins for Cancer—Not If, But When, How, and Why?Creating a digital twin for cancer is a daunting task, but NCI’s Dr. Eric Stahlberg says we already have many elements in place to serve as a digital twin foundation. All that’s needed now is a shift in thinking and a team science approach to bring a true cancer digital twin to life.
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Making a Bioinformatics Tool for the Cancer Research CommunityDiscover how to make your bioinformatics tools more broadly usable with no-code solutions!
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Semantics Series—The Role of Common Data Elements and Artificial IntelligenceCommon Data Elements (CDEs) enrich and standardize data through consistent and accurate metadata, helping to make data ready for use in training artificial intelligence (AI) models. In this blog, Ms. Denise Warzel discusses the role of CDEs and AI in CBIIT’s Semantic Infrastructure.
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Synthetic Data Helps Counter Lack of Diversity in DataIn this blog, NCI’s Center for Cancer Health Equity, Dr. Laritza Rodriguez, looks at one technique to help counter a lack of diversity in your data set. See how Synthetic Minority Oversampling Techniques (SMOTE) can help bring your biomedical research data into better balance.
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A Quick Start Guide to Cancer Data Science for Clinical OncologyWhether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.
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Why We Love Diverse Data
We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.
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The Good, the Bad, and the Unexplained: 5 Tips for Evaluating an AI ProductAre you interested in using artificial intelligence (AI) in your research or clinical practice but feeling unsure about where to start? Researchers from NCI’s Center for Cancer Research, Drs. Baris Turkbey and Stephanie Harmon, offer five tips that can get you started.
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Hone Your Communication Skills: “Weird” Cancer and Data Science TermsExplore some of the interesting terms used in cancer research and data science, and get tips on how you can make sure you’re communicating effectively!
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Dr. Tony Kerlavage Reflects on His Time at NCI CBIITFollowing 13 years at NCI and seven years as CBIIT’s director, Dr. Kerlavage plans to retire at the end of May. He shares his experience serving as director, advice for the future director, and plans for his retirement.
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The Cancer Genome Atlas (TCGA)—A Living Legacy for Cancer ResearchThis landmark data set maps the genomic profiles of 33 cancer types and subtypes. Learn how this rich data collection helps researchers like you better understand the molecular features associated with cancer.
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Nearly 40 Years of Biostatistics with NCI: A Q & A with Dr. Eric “Rocky” FeuerAfter 37 years at NCI, most of which was time serving as chief of the Statistical Research and Applications Branch for the Surveillance Research Program within NCI’s Division of Cancer Control and Population Sciences, Dr. Feuer shares his experience, accomplishments, and advice to cancer researchers.
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Career Confessions: NCI Earl Stadtman Investigator Shares Data Science Mentorship AdviceWe spoke to Dr. Tongwu Zhang of NCI’s Division of Cancer Epidemiology and Genetics to hear his advice on advancing in the cancer data science field.
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Cancer Researchers: Do You ‘Speak Data Science’? Test Your KnowledgeSee how many of these cancer data science questions you answer correctly. Use our training resources to improve your score!
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Living on the Edge—How Video Games Helped Shape the Future of Cancer CareDid you know that the same technology that makes your video games more realistic is helping to power important advances in cancer research? This latest blog by Dr. Eric Stahlberg looks at edge computing and how it’s helping to transform cancer research and care.