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Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.
Drug Saf
January 2025
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.
Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.
Core temperature and mental status of two runners experiencing exertional heat stroke after a road race.
J Sci Med Sport
December 2024
Korey Stringer Institute, Department of Kinesiology, University of Connecticut, United States of America.
Prehospital management of exertional heat stroke (EHS) consists of monitoring rectal temperature (T) while aggressively cooling via cold water immersion. Recent recommendations suggest using central nervous system (CNS) dysfunction to determine cessation of cooling when T is not available. We examined cognitive responses of two runners with EHS after a road race.
View Article and Find Full Text PDFIdentification, classification, and documentation of drug related problems in community pharmacy practice in Europe: a scoping review.
Int J Clin Pharm
January 2025
Department of Clinical Pharmacy, Leopold-Franzens Universität, Innsbruck, Austria.
Background: Drug-related problems (DRPs) are significant issues in healthcare contributing to adverse health outcomes and increased healthcare costs. While community pharmacists play a pivotal role in identifying, classifying, and documenting DRPs, there is a need to map approaches undertaken.
Aim: The aim of this scoping review was to examine the approaches to identifying, classifying, and documenting DRPs in community pharmacies in Europe, and their associated barriers and facilitators.
Immune Checkpoint Inhibitors in Glioblastoma IDHwt Treatment: A Systematic Review.
Cancers (Basel)
December 2024
Lou & Jean Malnati Brain Tumor Institute, Northwestern University, Chicago, IL 60611, USA.
Purpose: A glioblastoma (GBM) is a primary brain tumor with significant unmet therapeutic needs. Immune checkpoint inhibitors (ICIs) have marked therapeutic benefits in many different cancers but have yet to show benefit for most GBM patients in phase III trials.
Methods: A systematic review querying ClinicalTrials.
Effect of uniaxial bending methods on the flexural strength and Weibull analysis of heat-polymerized, CAD/CAM milled, and 3D-printed denture base resins.
Dent Mater
January 2025
Department of Oral Technology, Medical Faculty, University Hospital Bonn, Bonn, North Rhine-Westphalia, Germany; Department of Fixed Prosthodontics, Faculty of Dentistry, Suez Canal University, Ismailia, Egypt.
Objectives: To compare the flexural strength and modulus of denture base resins manufactured by conventional methods, 3-dimensional (3D) printing, and computer-aided design and computer-aided manufacturing (CAD/CAM) milling using 3-point bending (3PB) and 4-point bending (4PB) methods after simulated aging.
Methods: Ninety bars (64 ×10 ×3.3 mm) were prepared from heat-polymerized (Lucitone-199), CAD/CAM milled (G-CAM), and 3D-printed (Denturetec) denture base resins (n = 30 per material).
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