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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.
PLoS Comput Biol
December 2024
Department of Biology, San Francisco State University, San Francisco, California, United States of America.
Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to one or several antibiotics. It has been suggested that genomic sequencing and machine learning (ML) could make resistance testing more accurate and cost-effective.
View Article and Find Full Text PDFAdvancing Innovation in Medical Presentations: A Guide for Medical Educators to Use Images Generated With Artificial Intelligence.
Cureus
December 2024
Department of Neurology, Gummersbach Teaching Hospital, University of Cologne, Gummersbach, DEU.
Multimedia learning theory suggests that the use of images in the classroom enhances both cognitive and constructive learning. Finding the appropriate images for medical presentations can be challenging due to copyright and privacy issues. Artificial intelligence (AI) image generation is a newly available technology that offers a great advantage to medical educators.
View Article and Find Full Text PDFEvaluating virtual reality anatomy training for novice anesthesiologists in performing ultrasound-guided brachial plexus blocks: a pilot study.
BMC Anesthesiol
December 2024
Department of Anesthesiology, Ningbo No.2 Hospital, No.41, Northwest Street, Ningbo, 315010, P.R. China.
Background: Developing proficiency in ultrasound-guided nerve block (UGNB) demands an intricate understanding of cross-sectional anatomy as well as spatial reasoning, which is a big challenge for beginners. The aim of this pilot study was to evaluate the feasibility of virtual reality (VR)-facilitated anatomy education in the first performance of ultrasound-guided interscalene brachial plexus blockade among novice anesthesiologists. We carried out pilot testing of this hypothesis using a prospective, single blind, randomized controlled trial.
View Article and Find Full Text PDFPredicting the replicability of social and behavioural science claims in COVID-19 preprints.
Nat Hum Behav
December 2024
Department of Psychology, University of Cambridge, Cambridge, UK.
Replications are important for assessing the reliability of published findings. However, they are costly, and it is infeasible to replicate everything. Accurate, fast, lower-cost alternatives such as eliciting predictions could accelerate assessment for rapid policy implementation in a crisis and help guide a more efficient allocation of scarce replication resources.
View Article and Find Full Text PDFBreast US: Guide for Beginners.
Radiographics
January 2025
From the Department of Breast Imaging, Hospital Israelita Albert Einstein, Av. Albert Einstein, 627/701-Morumbi, São Paulo, SP 04003-041, Brazil (M.C.V.L., G.M., L.F.D., E.E.F.F., A.L.P.C., I.Y., A.C.S.R.); and Washington University School of Medicine, St. Louis, Mo (M.V.L.).
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