Category: Machine Learning

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 …

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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

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 …

Continue reading »

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 …

Continue reading »

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