Background: Research on achieving a good death for terminally delirious patients is scarce, with limited knowledge about the level of good death and influencing factors. This study investigates the level of good death among delirium patients, factors influencing it, and the correlation between distress, end-of-life care needs, and achieving a good death by surveying bereaved family members of deceased patients in Chinese hospitals.
Methods: This cross-sectional study from January 2022 to January 2024 was conducted among bereaved family members of patients using an online questionnaire.
This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions. From 3632 records, 84 studies were included, with Artificial Neural Networks (38%) and Support Vector Machines (11%) being the most common ML models.
View Article and Find Full Text PDFAmidst the rising prevalence of respiratory diseases, the importance of effective lung treatment modalities is more critical than ever. However, current drug delivery systems face significant limitations that impede their efficacy and therapeutic outcome. Biohybrid microrobots have shown considerable promise for active in vivo drug delivery, especially for pulmonary applications via intratracheal routes.
View Article and Find Full Text PDFBackground: Osteoporosis fracture is a common and most serious complication of osteoporosis.
Hypothesis: This study sought to assess the level, the diagnostic potential, and the effect of circulating miR-4534 in osteoporotic fractures.
Methods: GSE74209 and GSE93883 were analyzed using GEO2R online tool for differentially expressed microRNAs in osteoporotic fractures.
Background: Effective drugs for tendinopathy are lacking, resulting in significant morbidity and re-tearing rate after operation. Applying systems biology to identify new applications for current pharmaceuticals can decrease the duration, expenses, and likelihood of failure associated with the development of new drugs.
Methods: We identify tendinopathy signature genes employing a transcriptomics database encompassing 154 clinical tendon samples.