Results 131 to 140 of about 222,974 (348)
Absolute bioavailability and intravenous pharmacokinetics of N‐acetyl‐D‐mannosamine in humans
Aims N‐acetyl‐D‐mannosamine monohydrate (ManNAc) is a naturally occurring monosaccharide that has attracted considerable attention for its potential in treating GNE myopathy, a rare autosomal recessive muscle disorder. Despite its promise as an oral treatment, the absolute bioavailability of oral ManNAc has not been determined and there has been no ...
Tahlia R. Meola +6 more
wiley +1 more source
Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun +4 more
wiley +1 more source
Pathology of drug hypersensitivity reactions and mechanisms of immune tolerance
Paul Thomson +2 more
openalex +1 more source
Aims Vutiglabridin (HSG4112) is a novel drug under clinical development for antiobesity treatment. This study aimed to evaluate the pharmacokinetics (PKs) and safety of vutiglabridin after multiple oral administrations in healthy Korean female and obese subjects and explore short‐term pharmacodynamic (PD) responses.
Sooyoun Lee +5 more
wiley +1 more source
Clinical pharmacology consultations and their implementation in clinical decision making
Aims One of the key roles of clinical pharmacologists is to work as consultants for other medical specialties. We wanted to investigate the characteristics of clinical pharmacology consultations, compare the types of consultations from different specialties, and evaluate how well the recommendations given were followed.
Mirjam Kauppila +2 more
wiley +1 more source
Drug Induce Fever and Pancytopenia: A Case of Piperacillin-Tazobactam Hypersensitivity [PDF]
Eric S. Mull +2 more
openalex +1 more source
Machine learning methods for predicting adverse drug events: A systematic review
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo +8 more
wiley +1 more source
Management of pulmonary tuberculosis and hypersensitivity reaction to antituberculosis drugs in a patient presenting with recurrent psoas abscess [PDF]
Ahmet Yurttaş +4 more
openalex +1 more source
The majority of penicillin allergy labels are incorrect and a label of penicillin allergy is associated with worse outcomes and increased use of healthcare services. Penicillin allergy assessment and de‐labelling may be considered in critically ill patients. An oral penicillin challenge is a common component of most penicillin allergy protocols.
Cleodie Swire +7 more
wiley +1 more source

