Nov 08

Shape the Data Sharing Landscape: Make a Difference

Vivian Ota Wang, Deputy Director of NCI's Office of Data Sharing

By: Vivian Ota Wang, Ph.D. Deputy Director, Office of Data Sharing Center for Biomedical Informatics and Information Technology National Cancer Institute Broad and equitable data sharing can be interpreted many ways. For NCI’s Office of Data Sharing, this means balancing the support of exciting science and innovation and the needs of research and participant communities …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/shape-data-sharing-landscape-make-difference/

Sep 25

NCI’s Office of Data Sharing: Setting a “Gold” Standard for Childhood Cancer

Jaime M. Guidry Auvil headshot (A woman with shoulder length brown hair in a gray suit jacket with a white collar) on a white and blue background

By Jaime M. Guidry Auvil, Ph.D. Director, Office of Data Sharing Center for Biomedical Informatics and Information Technology Dr. Jaime M. Guidry Auvil serves as the director of the newly-launched NCI Office of Data Sharing (ODS). Headquartered at the Center for Biomedical Informatics and Information Technology, ODS is creating a comprehensive data sharing vision and …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/ncis-office-data-sharing-setting-gold-standard-childhood-cancer/

Sep 20

The Promise and the Challenge of Deep Learning in Pathology

Lee Cooper's headshot: A man standing in front of trees with a white shirt and black suit jacket on a blue and white background.

By Lee Cooper, Ph.D. Assistant Professor, Department of Biomedical Informatics Emory University School of Medicine Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University One of the most exciting developments of the past decade has been the success of methods broadly described as deep learning. While the roots …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/promise-challenge-deep-learning-pathology/

Aug 08

Predictive Modeling for Pre-clinical Drug Screening: Improving Models Derived From Observational Studies Using Machine Learning and Simulation

Authors: Jim Doroshow, M.D., Yvonne A. Evrard, Ph.D., and Rick Stevens

This blog post, the fifth, concludes our series that discusses the principles underlying the collaborative project “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 experts in applied machine learning and computer science using the …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/predictive-modeling-pre-clinical-drug-screening-improving-models-derived-observational-studies-using-machine-learning-simulation/

Jul 18

Population Level Pilot: Population Information Integration, Analysis, and Modeling for Precision Surveillance

Authors: Paul Fearn, Ph.D., MBA and Georgia Tourassi, Ph.D.

This is the fourth in 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 computational and data scientists affiliated with several national laboratories …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/population-level-pilot-population-information-integration-analysis-modeling-precision-surveillance/

Jul 06

Introducing the Data Commons Framework

Author: Robert L. Grossman, Ph. D.

Robert L. Grossman, Ph.D. Frederick H. Rawson Professor Professor of  Medicine and Computer Science Jim and Karen Frank Director,  Center for Translational Data Science (CTDS) University of Chicago For this interview, the Center for Biomedical Informatics and Information Technology Communications Team interviewed Dr. Robert L. Grossman of the University of Chicago Center for Data Intensive …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/introducing-data-commons-framework/

Jun 28

Modeling the Dynamics of Membrane-bound Mutant RAS to Accelerate Discovery of Novel Drug Targets

Authors: Dwight V. Nissley, Ph.D. and Frederick H. Streitz, Ph.D.

                    This is the third in 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 …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/modeling-dynamics-membrane-bound-mutant-ras-accelerate-discovery-novel-drug-targets/

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 …

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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 …

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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/