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Predicting Postoperative Neurological Outcomes in Metastatic Spinal Tumor Surgery Using Machine Learning.
Spine (Phila Pa 1976)
March 2025
Department of Orthopaedic Surgery, Chiba University, Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba-shi, 260-8670, Japan.
Study Design: Retrospective analysis of data collected across multiple centers.
Objective: To develop machine learning models for predicting neurological outcomes one month postoperatively in patients with metastatic spinal tumors undergoing surgery, and to identify key factors influencing neurological recovery.
Summary Of Background Data: The increasing prevalence of spinal metastases has led to a growing need for surgical intervention to address mechanical instability and neurological deficits.
Opportunities and challenges for the use of human samples in translational cardiovascular research: a scientific statement of the ESC Working Group on Cellular Biology of the Heart, the ESC Working Group on Cardiovascular Surgery, the ESC Council on Basic Cardiovascular Science, the ESC Scientists of Tomorrow, the European Association of Percutaneous Cardiovascular Interventions of the ESC, and the Heart Failure Association of the ESC.
Cardiovasc Res
March 2025
Department of Advanced Biomedical Sciences, Federico II University, Via Pansini 5, 80131 Naples, Italy.
Animal models offer invaluable insights into disease mechanisms but cannot entirely mimic the variability and heterogeneity of human populations, nor the increasing prevalence of multi-morbidity. Consequently, employing human samples-such as whole blood or fractions, valvular and vascular tissues, myocardium, pericardium, or human-derived cells-is essential for enhancing the translational relevance of cardiovascular research. For instance, myocardial tissue slices, which preserve crucial structural and functional characteristics of the human heart, can be used in vitro to examine drug responses.
View Article and Find Full Text PDFIncidence and costs of hospitalisation due to acute respiratory infection in adults aged over 50 years in Jiangsu, China in 2019-23: a real-world medical database analysis of 0.2 million episodes.
J Glob Health
March 2025
Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Nanjing Medical University, Nanjing, China.
Background: Acute respiratory infection (ARI) poses a significant public health challenge worldwide, particularly among older adults. However, the disease and economic burden of ARI among older adults in China remained sparse. We aimed to estimate the incidence rate and medical cost of hospitalisation due to ARI among adults aged ≥50 years in Jiangsu Province, China.
View Article and Find Full Text PDFOptimizing Prehospital Acute Transfer of Patients With Presumed Stroke Given Economic Constraints.
Eur J Neurol
March 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Background: Treatment with mechanical thrombectomy (MT) remains inaccessible for many patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) and under-utilization prevails across healthcare systems. Increasing the number of thrombectomy centers and ambulance helicopters may alleviate these issues.
Aim: This study aims to determine the most effective combination of optimally located ambulance helicopters and thrombectomy centers for the economically constrained healthcare system.
Leveraging microtopography to pattern multi-oriented muscle actuators.
Biomater Sci
March 2025
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Engineering skeletal muscle tissue with precisely defined alignment is of significant importance for applications ranging from drug screening to biohybrid robotics. Aligning 2D contractile muscle monolayers, which are compatible with high-content imaging and can be deployed in planar soft robots, typically requires micropatterned cues. However, current protocols for integrating microscale topographical features in extracellular matrix hydrogels require expensive microfabrication equipment and multi-step procedures involving error-prone manual handling steps.
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