Tag: Speaker Series

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/

May 06

Usable, Collaborative, Reproducible, and Extensible: Four Key Tenets of Cloud Computing

Brandi Davis-Dusenbery, Ph.D.

The Seven Bridges Cancer Genomics Cloud (CGC) is one of three pilot systems funded by the National Cancer Institute with the aim of co-localizing massive genomics datasets, like The Cancer Genomics Atlas (TCGA), alongside secure and scalable computational resources for analysis. TCGA comprises multidimensional matched tumor-normal data from over 11,000 patients and 33 cancer types. …

Continue reading »

Permanent link to this article: https://ncip.nci.nih.gov/blog/usable-collaborative-reproducible-extensible-four-key-tenets-cloud-computing/

Aug 15

Ephemeral Images, Indelible Data: The Promises and Challenges of Digital Imaging as Applied to Pathology

graphic representation of transformation of the coordinate system

  Those of us working in biomedical informatics are well aware that one of our omnipresent challenges is overcoming the disparity between our capacity to use high-throughput research technologies to produce huge quantities of data, which is now very high, and our practical ability to store, aggregate, analyze, and integrate the resulting mountains of heterogeneous …

Continue reading »

Permanent link to this article: https://ncip.nci.nih.gov/blog/ephemeral-images-indelible-data-the-promises-and-challenges-of-digital-imaging-as-applied-to-pathology/