Results 321 to 330 of about 7,423,055 (388)

Pharmacogenetic Implementation Studies—Lessons Learned From the PREPARE Study

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
The Ubiquitous Pharmacogenomics consortium (www.upgx.eu) has recently completed and published the Preemptive Pharmacogenomic Testing for Preventing Adverse Drug Reactions (PREPARE) study on the implementation of panel‐based pharmacogenetic testing. PREPARE has provided interesting lessons for the design, execution, and interpretation of future clinical
Henk‐Jan Guchelaar   +37 more
wiley   +1 more source

RAB19, SERPINB9P1, and Pancreatitis in Patients Taking Azathioprine in Routine Clinical Practice: Genome and Transcriptome‐Wide Association Studies

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Azathioprine is used to treat several inflammatory and autoimmune diseases. However, its use is limited by serious adverse events, including acute pancreatitis. Prior studies have found an association between the HLA region and thiopurine‐induced acute pancreatitis (TIAP); however, in clinical practice, many patients with pancreatitis do not meet this ...
Shailja C. Shah   +16 more
wiley   +1 more source

The Type of Follicle‐Stimulating Hormone Medication Given for In Vitro Fertilization Impacts Oocyte Retrieval: A Systematic Review and Meta‐Analysis

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Understanding the variability in ovarian response following administration of follicle‐stimulating hormone medications in women undergoing in vitro fertilization may help inform prescribing decisions. A systematic review was conducted to compare the number of retrieved oocytes and fertility outcomes following the administration of different follicle ...
Toni J.F. Michael   +27 more
wiley   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski   +10 more
wiley   +1 more source

Identification of neural crest and melanoma cancer cell invasion and migration genes using high‐throughput screening and deep attention networks

open access: yesDevelopmental Dynamics, EarlyView.
Abstract Background Cell migration and invasion are well‐coordinated in development and disease but remain poorly understood. We previously showed that the neural crest (NC) cell migratory wavefront shares a 45‐gene panel with other cell invasion phenomena.
J. C. Kasemeier‐Kulesa   +3 more
wiley   +1 more source

A pharmacist-led, digital health informatics-based, insight-led care approach to aid clinical prioritization of people with diabetes and heart failure. [PDF]

open access: yesCan Pharm J (Ott)
Doherty C   +7 more
europepmc   +1 more source

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