Results 251 to 260 of about 560,065 (339)

Clinically Important Endpoints in Individuals With Leukodystrophy: A Multisite Study

open access: yesAnnals of the Child Neurology Society, EarlyView.
ABSTRACT Importance Leukodystrophies are a diverse group of rare disorders that disrupt central myelination. These disorders present with a broad spectrum of neurological severity and are associated with a range of potential secondary complications, such as scoliosis and failure of independent feeding.
Emma R. Kotes   +31 more
wiley   +1 more source

Repurposing Acebutolol for Osteoporosis Treatment: Insights From Multi‐Omics and Multi‐Modal Data Analysis

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Overview of a multi‐omics based drug repurposing strategy. The systematic drug repurposing strategy included the following steps: (1) osteoporosis driver signaling networks were identified from multi‐omics data; (2) drug functional modules were obtained using a network fusion approach to integrate drug similarity information; (3) all drugs were ranked ...
Dan‐Yang Liu   +21 more
wiley   +1 more source

CYP2C19 Polymorphisms and Clinical Outcomes Following Percutaneous Coronary Intervention in the Million Veteran Program

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
CYP2C19 loss‐of‐function (LOF) alleles decrease the antiplatelet effect of clopidogrel following percutaneous coronary intervention (PCI) in patients presenting with acute coronary syndrome (ACS). The impact of genotype in patients undergoing PCI for stable ischemic heart disease (SIHD) in real‐world populations is less clear.
Catherine Chanfreau‐Coffinier   +20 more
wiley   +1 more source

Impact of First‐of‐Its‐Kind Patient‐Facing Pharmacogenetics Tool on Dosing Decisions and Treatment Outcomes

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Germline pharmacogenetics (PGx) is increasingly used to tailor medication selection/dosing. However, existing systems primarily communicate PGx results to providers, limiting direct patient engagement. To address this, we developed YourPGx Oncology, an innovative patient‐facing portal that delivers multi‐gene PGx results (CYP2D6, UGT1A1, DPYD) through ...
Youngwoo Cho   +15 more
wiley   +1 more source

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

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