Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
Clinical Pharmacokinetics of H1-Receptor Antagonists (The Antihistamines)
DM Paton, DR Webster - Clinical pharmacokinetics, 1985 - Springer
This article reviews clinical pharmacokinetic data on the H 1 -receptor antagonists, commonly
referred to as the antihistamines. Despite their widespread use over an extendnd period, …
referred to as the antihistamines. Despite their widespread use over an extendnd period, …
The hydrodynamics of chemical cues among aquatic organisms
DR Webster, MJ Weissburg - Annual Review of Fluid Mechanics, 2009 - annualreviews.org
Chemical cues mediate many critical life processes, such as feeding, reproduction, and benthic
settling, for aquatic organisms. Depending on the fluid velocity and flow regime, released …
settling, for aquatic organisms. Depending on the fluid velocity and flow regime, released …
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Importance Deep learning is a family of computational methods that allow an algorithm to
program itself by learning from a large set of examples that demonstrate the desired behavior, …
program itself by learning from a large set of examples that demonstrate the desired behavior, …
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
Purpose Use adjudication to quantify errors in diabetic retinopathy (DR) grading based on
individual graders and majority decision, and to train an improved automated algorithm for DR …
individual graders and majority decision, and to train an improved automated algorithm for DR …
Direct detection of DNA methylation during single-molecule, real-time sequencing
BA Flusberg, DR Webster, JH Lee, KJ Travers… - Nature …, 2010 - nature.com
We describe the direct detection of DNA methylation, without bisulfite conversion, through
single-molecule, real-time (SMRT) sequencing. In SMRT sequencing, DNA polymerases …
single-molecule, real-time (SMRT) sequencing. In SMRT sequencing, DNA polymerases …
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Traditionally, medical discoveries are made by observing associations, making hypotheses
from them and then designing and running experiments to test the hypotheses. However, …
from them and then designing and running experiments to test the hypotheses. However, …
Origins of the E. coli Strain Causing an Outbreak of Hemolytic–Uremic Syndrome in Germany
DA Rasko, DR Webster, JW Sahl… - … England Journal of …, 2011 - Mass Medical Soc
Background A large outbreak of diarrhea and the hemolytic–uremic syndrome caused by an
unusual serotype of Shiga-toxin–producing Escherichia coli (O104:H4) began in Germany …
unusual serotype of Shiga-toxin–producing Escherichia coli (O104:H4) began in Germany …
The origin of the Haitian cholera outbreak strain
CS Chin, J Sorenson, JB Harris… - … England Journal of …, 2011 - Mass Medical Soc
Background Although cholera has been present in Latin America since 1991, it had not
been epidemic in Haiti for at least 100 years. Recently, however, there has been a severe …
been epidemic in Haiti for at least 100 years. Recently, however, there has been a severe …
A deep learning system for differential diagnosis of skin diseases
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases
are seen instead by general practitioners with lower diagnostic accuracy. We present a …
are seen instead by general practitioners with lower diagnostic accuracy. We present a …
