Category: Bioinformatics

Jun 07

CANDLE: Scaling JDACS4C Machine Learning Algorithms to Unprecedented Magnitudes

                    This is the second of a series of posts that discuss the principles underlying the three-year collaborative program “Joint Design of Advanced Computing Solutions for Cancer (JDACS4C).” Investigators from the National Cancer Institute (NCI) and the Frederick National Laboratory for Cancer Research have been working collaboratively with …

Continue reading »

Permanent link to this article: https://ncip.nci.nih.gov/blog/candle-scaling-jdacs4c-algorithms-unprecedented-magnitudes/

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 …

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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

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 …

Continue reading »

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

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 …

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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

Sep 14

The Protein Data Bank and the Importance of Sustaining Primary Data Archives

                    By Helen M. Berman, Ph.D.*, Director Emerita, RCSB Protein Data Bank, and Stephen K. Burley, M.D., D.Phil.*+, Director, RCSB Protein Data Bank Scientific discovery involves collecting and analyzing data, and communicating new knowledge arising therefrom. What happens, though, when someone wants to repeat an experiment, or …

Continue reading »

Permanent link to this article: https://ncip.nci.nih.gov/blog/protein-data-bank-importance-sustaining-primary-data-archives/

Aug 29

Cancer Genomics Cloud Pilots DREAM Challenge — Leveraging the Wisdom of the Crowd

Anthony Kerlavage, Ph.D.Tony Kerlavage, Ph.D.

By Tony Kerlavage, Ph.D., NCI CBIIT, Cancer Informatics Branch In recent years, Challenges have become a popular way to engage and motivate the research and innovation communities to solve difficult problems. Challenges are open competitions where communities are presented with specific and often difficult problems to solve. Participants are given guidelines and test data, and …

Continue reading »

Permanent link to this article: https://ncip.nci.nih.gov/blog/cancer-genomics-cloud-pilots-dream-challenge-leveraging-wisdom-crowd/