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A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling.
BMC Med Inform Decis Mak
January 2025
Department of Orthopedics, the First Hospital of Jilin University, Changchun, Jilin Province, 130021, China.
Purpose: Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis.
Methods: Patients who underwent multiple drilling were enrolled.
Chronic and infectious respiratory mortality and short-term exposures to four types of pollen taxa in older adults in Michigan, 2006-2017.
BMC Public Health
January 2025
Social Environment and Health Program, Institute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48104, USA.
Introduction: Levels of plant-based aeroallergens are rising as growing seasons lengthen and intensify with anthropogenic climate change. Increased exposure to pollens could increase risk for mortality from respiratory causes, particularly among older adults. We determined short-term, lag associations of four species classes of pollen (ragweed, deciduous trees, grass pollen and evergreen trees) with respiratory mortality (all cause, chronic and infectious related) in Michigan, USA.
View Article and Find Full Text PDFDelirium at the intensive care unit and long-term survival: a retrospective study.
BMC Neurol
January 2025
Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background: Delirium is a common complication in patients at the intensive care unit (ICU) and is associated with prolonged ICU-stay and hospitalization and with increased morbidity. The impact of ICU-delirium on long-term survival is not clearly understood.
Methods: This retrospective single center observational study was conducted at the Institute of Intensive Care Medicine at the University Hospital Zurich, Switzerland.
Multistage deep learning for classification of Helicobacter pylori infection status using endoscopic images.
J Gastroenterol
January 2025
Faculty of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Background: The automated classification of Helicobacter pylori infection status is gaining attention, distinguishing among uninfected (no history of H. pylori infection), current infection, and post-eradication. However, this classification has relatively low performance, primarily due to the intricate nature of the task.
View Article and Find Full Text PDFAnalysis of DNA cox1 barcoding revealed novel haplotype in Schistosoma haematobium isolated from Western Sudan.
Sci Rep
January 2025
Faculty of Veterinary Medicine, University of Khartoum, Khartoum, Sudan.
Schistosomiasis poses a significant global health threat, particularly in tropical and subtropical regions like Sudan. Although numerous epidemiological studies have examined schistosomiasis in Sudan, the genetic diversity of Schistosoma haematobium populations, specifically through analysis of the mtcox1 gene, remains unexplored. This study aimed to investigate the risk factors associated with urogenital schistosomiasis among school pupils in El-Fasher, Western Sudan, as well as the mtcox1 genetic diversity of human S.
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