Avoidable drug-gene conflicts and polypharmacy interactions in patients participating in a personalized medicine program.

Aim: Determine the ability of a pharmacogenetic service, PRIMER, to identify drug-gene (DGI) and drug-drug interactions (DDI) in patients across multiple conditions. PRIMER consists of patient selection criteria, a gene panel and actionable guidance for DGIs and DDIs.

Results: The average patient was prescribed 12 medications.

Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine.

The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data.

The Pharmacist's Perspective on Pharmacogenetics Implementation.

The future for pharmacogenetics will continue to expand. Pharmacists can apply and incorporate drug knowledge in collaboration with other health providers using pharmacogenetics. Patients benefit with enhanced therapeutic outcomes that could lead to more streamlined drug approaches, fewer follow-up visits, cost savings, and shorter times to achieve therapeutic outcomes.

Care of the patient with pulmonary arterial hypertension.

Patients presenting with pulmonary arterial hypertension (PAH), the rarest of the groups of pulmonary hypertension diagnoses, are infrequently seen in the critical care arena. However, when patients with PAH present in the intensive care unit, it is generally related to an exhaustion of treatments. This article focuses on the current state of the literature addressing the group designation, pathophysiology, symptom expression, and treatment modalities of the patient with PAH.