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Controlled human infection studies accelerate vaccine development.
J Infect Dis
January 2025
Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland 21218, USA.
Clinical trials that employ human challenge, also known as controlled human infection models (CHIM), have rapidly advanced vaccine development for multiple pathogens, including at least 30 disease models to date. CHIM studies, championed by networks of researchers, regulators, ethicists, technical experts, and other stakeholders, limit exposure of individuals to an investigational product, de-risk product investments, identify correlates of protection, and most importantly provide a prompt readout of vaccine efficacy. While CHIM studies provide multiple advantages, important challenges exist, including strengthening the relevance and comparability of CHIM study results to efficacy trials in endemic areas, particularly in resource-limited settings.
View Article and Find Full Text PDFBackground: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.
Materials And Methods: A total of 200 questions were selected from the 2019 and 2021 American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions.
Purpose: To better understand burnout in oncology and clinician well-being along the career continuum starting with training, we sought to characterize the professional well-being of physicians training in medical oncology in 2023 and to identify trends over time comparing to fellows from a decade prior.
Methods: All US medical oncology fellows taking the 2023 ASCO Medical Oncology In-Training Exam (ITE) were invited to complete an optional post-exam survey evaluating fatigue, satisfaction with work-life integration (WLI), emotional exhaustion and depersonalization. 2023 ITE survey responses were compared to the 2013 ASCO post-ITE survey (n=1345).
Inferring the genetic relationships between unsupervised deep learning-derived imaging phenotypes and glioblastoma through multi-omics approaches.
Brief Bioinform
November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
View Article and Find Full Text PDFThe impact of anticoagulant-related bleeding on quality of life: Development of a novel measure based on perspectives from older adults.
PLoS One
January 2025
Department of Pharmacotherapy, University of Utah, Salt Lake City, Utah, United States of America.
Background: Venous thromboembolism (VTE) and atrial fibrillation (AF) disproportionately affect older adults, who are at increased risk of bleeding from treatment with anticoagulant therapy. The impact of bleeding on older adults' quality of life (QoL) is poorly understood due to the lack of a validated measure of their experience. This study's purpose is to describe the first evidence-based steps in developing a new condition-specific patient-reported outcome measure (PROM) for the effect of anticoagulant-related bleeding on older adults' QoL.
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