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Dale R. Webster
Researcher at Google
Publications - 73
Citations - 13477
Dale R. Webster is an academic researcher from Google. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 27, co-authored 57 publications receiving 9644 citations. Previous affiliations of Dale R. Webster include University of California, San Francisco & Pacific Biosciences.
Papers
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Journal ArticleDOI
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan,Lily Peng,Marc Coram,Martin C. Stumpe,Derek Wu,Arunachalam Narayanaswamy,Subhashini Venugopalan,Kasumi Widner,Tom Madams,Jorge Cuadros,Ramasamy Kim,Rajiv Raman,Philip C. Nelson,Jessica L. Mega,Dale R. Webster +14 more
TL;DR: An algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy and diabetic macular edema in retinal fundus photographs from adults with diabetes.
Journal ArticleDOI
Direct detection of DNA methylation during single-molecule, real-time sequencing
Benjamin Flusberg,Dale R. Webster,Jessica Lee,Kevin Travers,Eric Olivares,Tyson A. Clark,Jonas Korlach,Stephen Turner +7 more
TL;DR: The direct detection of DNA methylation, without bisulfite conversion, through single-molecule, real-time (SMRT) sequencing is described and is amenable to long read lengths and will likely enable mapping of methylation patterns in even highly repetitive genomic regions.
Journal ArticleDOI
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: In this article, the authors used deep learning models trained on retinal fundus images to predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images.
Journal ArticleDOI
Origins of the E. coli Strain Causing an Outbreak of Hemolytic–Uremic Syndrome in Germany
David A. Rasko,Dale R. Webster,Jason W. Sahl,Ali Bashir,Nadia Boisen,Flemming Scheutz,Ellen E. Paxinos,Robert Sebra,Chen-Shan Chin,Dimitris Iliopoulos,Aaron Klammer,Paul Peluso,Lawrence Lee,Andrey Kislyuk,James H. Bullard,Andrew Kasarskis,Susanna Wang,John Eid,David R. Rank,Julia C. Redman,Susan R. Steyert,Jakob Frimodt-Møller,Carsten Struve,Andreas Petersen,Karen A. Krogfelt,James P. Nataro,Eric E. Schadt,Matthew K. Waldor +27 more
TL;DR: The findings suggest that horizontal genetic exchange allowed for the emergence of the highly virulent Shiga-toxin-producing enteroaggregative E. coli O104:H4 strain that caused the German outbreak, and highlight the way in which the plasticity of bacterial genomes facilitates the emerged of new pathogens.
Journal ArticleDOI
Predicting Cardiovascular Risk Factors in Retinal Fundus Photographs using Deep Learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: Deep learning predicts, from retinal images, cardiovascular risk factors—such as smoking status, blood pressure and age—not previously thought to be present or quantifiable in these images.