May 17

Joint Design of Advanced Computing Solutions for Cancer (JDACS4C): The Right Collaboration at the Right Time to Accelerate Cancer Research

Authors of the blog

This is the first of a series of posts that discuss the pilot collaborative program “Joint Design of Advanced Computing Solutions for Cancer (JDACS4C)” being pursued by the National Cancer Institute (NCI) and the Department of Energy (DOE). Investigators from NCI and the Frederick National Laboratory for Cancer Research have been working collaboratively with experts …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/joint-design-advanced-computing-solutions-cancer-jdacs4c-right-collaboration-right-time-accelerate-cancer-research/

Apr 05

NCI Requests Input on the Development of an Imaging Data Commons

By Stephen D Jett, Ph.D. AAAS Science & Technology Policy Fellow National Cancer Institute    In 2016, a Blue Ribbon Panel (BRP) was established, as part of the Beau Biden Cancer Moonshot, to make key recommendations that would support the Moonshot goals of accelerating progress in cancer research and breaking down barriers to developing new …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/nci-requests-input-development-imaging-data-commons/

Jan 17

Artificial Intelligence in Cancer Diagnostics and Prognostics: Radiologists in the Driver’s Seat

Hugo Aerts, Ph.D.Hugo Aerts, Ph.D.

By Hugo Aerts, Ph.D. Director, Computational Imaging and Bioinformatics Laboratory (CIBL) Associate Professor, Harvard University In the past year, the use of Artificial Intelligence (AI) in radiology, also called “radiomics,” has been getting a lot of attention, mainly because of the progress Deep Learning (DL) has made from a sub-human performance to performance that is …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/artificial-intelligence-cancer-diagnostics-prognostics-radiologists-drivers-seat/

Jan 03

Breaking Down Data Silos: The Urgency of Now

By NCI Center for Biomedical Informatics and Information Technology (CBIIT) and Center for Strategic Scientific Initiatives (CSSI) Staff Now is the time for researchers across domains to ideate together, share data, and maximize the utility of those data. This is “the urgency of now” according to former Vice President Joe Biden, who delivered the keynote …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/breaking-data-silos-urgency-now/

Nov 06

We Face a New “Tragedy of the Commons.” The Remedy is Better Metadata.

Mark A. Musen, M.D., Ph.D.Mark A. Musen, M.D., Ph.D.

By Mark A. Musen, M.D., Ph.D. The data science community is awash with “FAIRness.” In the past few years, there has been an emerging consensus that scientific data should be archived in open repositories, and that the data should be Findable, Accessible, Interoperable, and Reusable.1 The campaign for FAIR data is particularly palpable at the …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/face-new-tragedy-commons-remedy-better-metadata/

Aug 30

Towards a Cancer Research Data Commons

Allen Dearry, Ph.D.Allen Dearry, Ph.D.

By Allen Dearry, Ph.D., Program Director I recently joined NCI to help support strategic data sharing and informatics projects within the Center for Biomedical Informatics and Information Technology (CBIIT). Having worked on information management at another Institute for five years and the trans-NIH Big Data to Knowledge (BD2K) initiative since its inception, this is an …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/towards-cancer-research-data-commons/

Mar 28

Precision Medicine Meets Imprecise Medicine

Michael N. Liebman, Ph.D.Michael N. Liebman, Ph.D.

By Michael N. Liebman, Ph.D., Managing Director, IPQ Analytics, Adjunct Professor, Pharmacology and Physiology, Drexel College of Medicine Biomedical research is evolving with an increasing emphasis on data science, e.g., data integration and storage, data privacy and security, data analytics and data representation, driven by the transformative technologies that have become the currency of genomics …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/precision-medicine-meets-imprecise-medicine/

Mar 07

Democratizing Access to CCG Data: Cancer Genomics Cloud Pilots

By Izumi Hinkson, Ph.D., NCI CBIIT Cancer Informatics Branch In recent years, genomics has been described as a big data science on par with the likes of Twitter, YouTube, and the scientific pursuit of understanding the universe1. These comparisons are certainly not exaggerations, especially considering that genomic data is generated at a rate of 1 zetta-bases …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/democratizing-access-ccg-data-cancer-genomics-cloud-pilots/

Feb 13

Imaging: A Key Component of a Cancer Data Ecosystem

    By Edward Helton, Ph.D., Government Sponsor, CBIIT Clinical Imaging Program, Robert Nordstrom, Ph.D., Branch Chief, Imaging Guided Intervention Branch, and Eve Shalley, Program Manager, NCI CBIIT Cancer Informatics Branch Precision medicine has quickly moved to the forefront of clinical research and practice, and is particularly pertinent to cancer since cancer is a disease of the …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/imaging-key-component-cancer-data-ecosystem/

Nov 29

Precision Medicine Inspires HPC

By Eric Stahlberg, Ph.D., Director, High Performance Computing Initiative, Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research (FNLCR) The recent weeks have been momentous as the high-performance computing (HPC) community embraced the challenge of precision medicine.  The theme of this year’s leading international supercomputing conference, SC16,  was “HPC Matters” and it …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/precision-medicine-inspires-hpc/