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/

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/