Remote delivery of preclinical medical scientific curriculum during the COVID pandemic to a large medical school class ( = 429) provided limited options for active learning. We implemented adjunct Google Forms in a first-year medical school class to provide online, active learning with automated feedback and mastery learning approaches.
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http://dx.doi.org/10.1007/s40670-023-01748-5 | DOI Listing |
Front Artif Intell
January 2025
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Introduction: Active learning can significantly decrease the labeling cost of deep learning workflows by prioritizing the limited labeling budget to high-impact data points that have the highest positive impact on model accuracy. Active learning is especially useful for semantic segmentation tasks where we can selectively label only a few high-impact regions within these high-impact images. Most established regional active learning algorithms deploy a static-budget querying strategy where a fixed percentage of regions are queried in each image.
View Article and Find Full Text PDFFront Chem
January 2025
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Treatment of type 2 diabetes (T2D) remains a significant challenge because of its multifactorial nature and complex metabolic pathways. There is growing interest in finding new therapeutic targets that could lead to safer and more effective treatment options. Takeda G protein-coupled receptor 5 (TGR5) is a promising antidiabetic target that plays a key role in metabolic regulation, especially in glucose homeostasis and energy expenditure.
View Article and Find Full Text PDFJ Educ Health Promot
December 2024
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The plethora of troublesome signs and symptoms of multiple sclerosis (MS) reduces patients' quality of life (QOL) and coping skills. Face-to-face (F2F) education is effective and practical as it allows for more engagement and active learning. The use of mobile health technology to enhance health is now an excellent potential to establish a more efficient health system.
View Article and Find Full Text PDFJ Pharm Anal
October 2024
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Alzheimer's disease (AD) is gradually increasing in prevalence and the complexity of its pathogenesis has led to a lengthy process of developing therapeutic drugs with limited success. Faced with this challenge, we proposed using a state-of-the-art drug screening algorithm to identify potential therapeutic compounds for AD from traditional Chinese medicine formulas with strong empirical support. We developed four deep neural network (DNN) models for AD drugs screening at the disease and target levels.
View Article and Find Full Text PDFBackground: During last ten years, we have developed a digital library with educational materials in Physical medicine and rehabilitation.
Objectives: The objective of current article is the preparation of an electronic library with educational materials in the area of physical medicine, physical therapy and rehabilitation, and the comparative evaluation of the impact of this repository on the quality of education of students and trainees in the field.
Methodology: The electronic library includes e-books on different topics, elements of the specialty "Physical and rehabilitation medicine (PRM)" or Physiatry - with theoretical data, practical issues and case reports with videos of real patients.
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