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BMC Musculoskelet Disord
December 2024
Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, PR China.
Purpose: To assess bone mineral density (BMD) in middle-aged individuals in Shanghai, in order to improve awareness of osteopenia and osteoporosis screening.
Methods: The clinical data of 1107 permanent residents of Shanghai aged 40-60 years were collected using a random cluster sampling method. Osteoporosis questionnaire survey and BMD test were conducted.
BMC Cardiovasc Disord
December 2024
Jiangxi University of Chinese Medicine, Jiangxi, China.
Background: Qi Li Qiang Xin (QLQX) capsule has a solid theoretical basis and clinical efficacy in the treatment of chronic heart failure; however, the underlying mechanisms remain obscure. This study was designed to determine the effect of the QLQX on the treatment of heart failure and delineate the underlying mechanisms via a nontargeted metabolomics and lipidomics approach.
Methods: A rat model of heart failure after myocardial infarction (MI) was established via permanent ligation of the anterior descending branch of the left coronary artery.
Dent Res J (Isfahan)
November 2024
Student Research Committee, Dental School, Urmia University of Medical Sciences, Urmia, Iran.
Background: This study compared the antibacterial effects of 940 nm diode laser and sodium hypochlorite and chlorhexidine irrigations on in human permanent single-rooted teeth.
Materials And Methods: In this study, 65 extracted human single-rooted teeth were prepared using the crown-down method using rotary files. The root canals were irrigated with 5.
BMC Oral Health
December 2024
Department of Oral Surgery, Universidad de Salamanca, Salamanca, 37007, Spain.
Background: Knowing the available dental space in a patient is crucial for orthodontists to develop a good treatment plan.
Objectives: To compare and evaluate the reliability, reproducibility, and accuracy of three measurement methods on models: conventional, mobile app, and digital software.
Materials And Methods: Maxillary and mandibular dental plaster models of 20 subjects with permanent dentition were analyzed.
Sci Rep
December 2024
Artificial Intelligence in Medical Sciences Research Center, Smart University of Medical Sciences, Tehran, Iran.
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.
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