Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Objective: This is the fourth article in a series that explores the historical events surrounding the Wilk v American Medical Association (AMA) lawsuit, in which the plaintiffs argued that the AMA, the American Hospital Association, and other medical specialty societies violated antitrust law by restraining chiropractors' business practices. The purpose of this article is to provide a brief review of the history of the origins of AMA's increased efforts to contain and eliminate the chiropractic profession and the development of the Chiropractic Committee, which would later become the AMA Committee on Quackery.
Methods: This historical research study used a phenomenological approach to qualitative inquiry into the conflict between regular medicine and chiropractic and the events before, during, and after a legal dispute at the time of modernization of the chiropractic profession.
Establishment of the African Medicines Agency: progress, challenges and regulatory readiness.
J Pharm Policy Pract
March 2021
Department of Pharmacy Practice, School of Pharmacy, University of the Western Cape, Private Bag X17, Bellville, 7535, South Africa.
Insufficient access to quality, safe, efficacious and affordable medical products in Africa has posed a significant challenge to public health for decades. In part, this is attributed to weak or absent policies and regulatory systems, a lack of competent regulatory professionals in National Medicines Regulatory Authorities (NMRAs) and ineffective regional collaborations among NMRAs. In response to national regulatory challenges in Africa, a number of regional harmonisation efforts were introduced through the African Medicines Regulatory Harmonisation (AMRH) initiative to, among others, expedite market authorisation of medical products and to facilitate the alignment of national legislative frameworks with the AU Model Law on Medical Products Regulation.
View Article and Find Full Text PDFProbabilistic reversal learning under acute tryptophan depletion in healthy humans: a conventional analysis.
J Psychopharmacol
May 2020
Department of Psychology, University of Cambridge, Cambridge, UK.
The involvement of serotonin in responses to negative feedback is well established. Acute serotonin reuptake inhibition has enhanced sensitivity to negative feedback (SNF), modelled by behaviour in probabilistic reversal learning (PRL) paradigms. Whilst experiments employing acute tryptophan depletion (ATD) in humans, to reduce serotonin synthesis, have shown no clear effect on SNF, sample sizes have been small.
View Article and Find Full Text PDFHow Can Medical Students Add Value? Identifying Roles, Barriers, and Strategies to Advance the Value of Undergraduate Medical Education to Patient Care and the Health System.
Acad Med
September 2017
J.D. Gonzalo is assistant professor of medicine and public health sciences and associate dean for health systems education, Penn State College of Medicine, Hershey, Pennsylvania. M. Dekhtyar is research associate, Medical Education Outcomes, American Medical Association, Chicago, Illinois. R.E. Hawkins is vice president, Medical Education Outcomes, American Medical Association, Chicago, Illinois. D.R. Wolpaw is professor of medicine and humanities, Penn State College of Medicine, Hershey, Pennsylvania.
Purpose: As health systems evolve, the education community is seeking to reimagine student roles that combine learning with meaningful contributions to patient care. The authors sought to identify potential stakeholders regarding the value of student work, and roles and tasks students could perform to add value to the health system, including key barriers and associated strategies to promote value-added roles in undergraduate medical education.
Method: In 2016, 32 U.
Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise.
PLoS Comput Biol
February 2017
Department of Psychology, University of Pennsylvania, Philadelphia, PA, United States of America.
Accuracy Maximization Analysis (AMA) is a recently developed Bayesian ideal observer method for task-specific dimensionality reduction. Given a training set of proximal stimuli (e.g.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!