Objectives To evaluate the perceptions of independent community pharmacists within a
regional independent community pharmacy cooperative on implementing personalized …

Skeletal muscle toxicity is the primary adverse effect of statins. In this review, we summarize
current knowledge regarding the genetic and nongenetic determinants of risk for statin …

Objective DNA biobanks linked to comprehensive electronic health records systems are
potentially powerful resources for pharmacogenetic studies. This study sought to develop …

Patients vary in their responses to drug therapy, and some of that variability is genetically
determined. This review outlines general approaches used to identify genetic variation that …

Pharmacogenetics studies how genetic variation leads to variability in drug response.
Guidelines for selecting the right drug and right dose for patients based on their genetics are …

In many contemporary applications, large amounts of unlabelled data are readily available
while labelled examples are limited. There has been substantial interest in semi-supervised …

This study aims to determine whether CYP2C19 loss‐of‐function (LoF) variants were
associated with long‐term ischemic stroke risk in Chinese primary care patients treated with …

In many modern machine learning applications, the outcome is expensive or time
consuming to collect whereas the predictor information is easy to obtain. Semi-supervised …

Background Machine learning has been used extensively in clinical text classification tasks.
Deep learning approaches using word embeddings have been recently gaining momentum …

Health-related research is increasingly drawing on novel sources of online data, such as
crowdsourced information about disease outbreaks, consumer-supplied information …