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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
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Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
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Guizhou Provincial Key Laboratory of Computing and Network Convergence, School of Information, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, P. R. China.
Developing superionic conductor (SIC) materials offers a promising pathway to achieving high ionic conductivity in solid-state electrolytes (SSEs). The LiGePS (LGPS) family has received significant attention due to its remarkable ionic conductivity among various SIC materials. molecular dynamics (AIMD) simulations have been extensively used to explore the diffusion behavior of Li ions in LiGePS.
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Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology and artificial intelligence (AI) have opened new frontiers in the fight against this disease. Nanotechnology enables precise, targeted drug delivery, enhancing the efficacy of therapeutics while minimizing off-target effects.
View Article and Find Full Text PDFStandard observation plane annotation for diagnosis of ossicular chain in the temporal bone CT images.
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Temporal bone CT is an essential technique for diagnosing ossicular chain trauma, and the location of standard observation planes (SOP) is the foundation of imaging diagnosis. The ossicular chain is small in volume, and there are about 11 standard observation planes for ossicular chain diagnosis, so it is a professional and time-consuming task to label SOPs accurately. An automatic annotation method of SOP is proposed.
View Article and Find Full Text PDFExploring the molecular characterization of PANoptosis-related genes with features of immune dysregulation in Alzheimer's disease based on bulk and single-nuclei RNA sequencing.
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Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, P.R. China.
The immune system has emerged as a major factor in the pathogenesis of Alzheimer's disease (AD). PANoptosis is a newly defined programmed cell death mechanism related to many inflammatory diseases. This study aimed to identify the differentially expressed (DE) PANoptosis-related genes with characteristics of immune dysregulation (PRGIDs) in AD using bioinformatics analysis of bulk RNA-seq and single-nuclei RNA sequencing (snRNA-seq) data.
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