Results 171 to 180 of about 69,426 (314)
Tubulointerstitial Nephritis Induced by Adalimumab
Yasmine Salem Mahjoubi +6 more
doaj +1 more source
Aims Spontaneous reporting of adverse drug reactions (ADR) after a product has reached the market is essential for drug safety. This study analysed patient ADR reports and compared them with reports from the Japanese Adverse Drug Event Report (JADER) database to identify differences and trends.
Masami Tsuchiya +5 more
wiley +1 more source
Tokenization techniques for privacy-preserving healthcare data: tokenization nuts and bolts. [PDF]
Cook CV.
europepmc +1 more source
Optimizing Physician Surveys in Pharmacovigilance Using ecancer Online Community [PDF]
J.J. Body +7 more
openalex +1 more source
Aim To evaluate the clinical effectiveness, cost‐effectiveness, quality of life (QoL) and patient/caregiver satisfaction associated with VWs/HaH vs. traditional inpatient care in adults with acute or post‐acute illness. Methods We conducted a systematic review and meta‐analysis of randomized controlled trials (RCTs), following PRISMA 2020 guidelines ...
Rana A. Malhis +6 more
wiley +1 more source
Knowledge, attitude, and practice of pharmacovigilance among healthcare professionals at a tertiary level hospital, Sudan: a cross sectional study. [PDF]
Hamid M, Osman M.
europepmc +1 more source
Dupilumab in moderate‐to‐severe prurigo nodularis: Real‐world data from early access program
Journal of the European Academy of Dermatology and Venereology, EarlyView.
Marie Jachiet +14 more
wiley +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

