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Correction: De Novo Cost‑Effectiveness Model Framework for Nonalcoholic Steatohepatitis-Modeling Approach and Validation.
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Artificial intelligence-based chatbot assistance in clinical decision-making for medically complex patients in oral surgery: a comparative study.
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Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Istanbul Medeniyet University, Istanbul, Türkiye.
Aim: This study aims to evaluate the potential of AI-based chatbots in assisting with clinical decision-making in the management of medically complex patients in oral surgery.
Materials And Methods: A team of oral and maxillofacial surgeons developed a pool of open-ended questions de novo. The validity of the questions was assessed using Lawshe's Content Validity Index.
GoldPolish-target: targeted long-read genome assembly polishing.
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Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, V5Z 4S6, Canada.
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Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) are primarily genetic in ~20% of patients. Mutations in are the most frequent cause, but it is not understood why there is notable regional pathology. An increased burden of mitochondrial DNA (mtDNA) mutations in ALS-FTLD brains implicates mitochondrial mechanisms; however, it remains unclear how and when these mutations arise.
View Article and Find Full Text PDFBackground: Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future trajectories to 2050.
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