Purpose: The design of electronic health records to translate genomic medicine into clinical
care is crucial to successful introduction of new genomic services, yet there are few …

Ontologies are now pervasive in biomedicine, where they serve as a means to standardize
terminology, to enable access to domain knowledge, to verify data consistency and to …

Data integration is a key challenge faced in pharmacology where there are numerous
heterogeneous databases spanning multiple domains (eg chemistry and biology). To …

The discovery of new medicines requires pharmacologists to interact with a number of
information sources ranging from tabular data to scientific papers, and other specialized …

Introduction The use and interoperability of clinical knowledge starts with the quality of the
formalism utilized to express medical expertise. However, a crucial challenge is that existing …

A sizable fraction of patients experiences adverse drug events or lack of drug efficacy. A part
of this variability in drug response can be explained by genetic differences between patients …

Background Understanding the relationships between genes, drugs, and disease states is at
the core of pharmacogenomics. Two leading approaches for identifying these relationships …

Motivation Despite the increasing evidence of utility of genomic medicine in clinical practice,
systematically integrating genomic medicine information and knowledge into clinical …

Background A standard task in pharmacogenomics research is identifying genes that may
be involved in drug response variability, ie, pharmacogenes. Because genomic experiments …

Even though pharmacogenetics holds great potential for improving the quality of pharmaco
therapy, there are several major barriers to the integration of pharmacogenetics data into rou …