Results 261 to 270 of about 4,237,015 (377)

Participating in the Conversation [PDF]

, 2011
Otero-Boisvert, Maria
core   +1 more source

Pregabalin dependence, withdrawal, suicidality and psychosis reports: A disproportionality analysis of the Australian adverse events database

British Journal of Clinical Pharmacology, EarlyView.
Aims Globally, Australia has the highest per capita consumption rate of pregabalin, commonly prescribed for neuropathic pain. Emerging evidence suggests pregabalin may be associated with the onset or recurrence of several potentially life‐threatening psychiatric events in some individuals.
Amy G. McNeilage, Ali Gholamrezaei, Bridin Murnion, Suzanne Nielsen, Claire E. Ashton‐James   +4 more
wiley   +1 more source

Medical Journals in St. Louis before 1900; Background. Union List of Medical Journals : Committee of St. Louis Librarians.

, 1965
David A. Kronick
openalex   +1 more source

Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis

Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus, Linxuan Zhao, Andrew Gibson, Roberto Martinez‐Maldonado, Georgina C. Stephens   +4 more
wiley   +1 more source

Absolute bioavailability and intravenous pharmacokinetics of N‐acetyl‐D‐mannosamine in humans

British Journal of Clinical Pharmacology, EarlyView.
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, Guy Ludbrook, Gianfranco Fornasini, Olga Pavlova, Sumit Jain, Allan M. Evans, Stephanie E. Reuter   +6 more
wiley   +1 more source

The evolving role of clinical medical librarians.

, 1989
Deborah D. Halsted, Dane Ward, Dana M. Neeley   +2 more
openalex   +1 more source

An Association of Medical Librarians

International Journal of Clinical Practice, 1947
openaire   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

British Journal of Clinical Pharmacology, EarlyView.
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, Fatemeh Ahmadi, Mohammad Ali Omrani, Sheikh S. Abdullah, Neda Rostamzadeh, Atefeh Jafari, Lujain Izzedin, Kamran Sedig, Flory T. Muanda   +8 more
wiley   +1 more source

Evaluation of an online systematic review escape room for early career clinicians and doctoral students. [PDF]

J Med Libr Assoc
Cannon P, McKee T.
europepmc   +1 more source