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Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures.
Scientific reports
Jul 1, 2025
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can significantly prolong hospitalization periods and elevate mortality rates. Consequently, early prevention and identification of this condition are crucial...
Mitochondrial haplogroup A2 is associated with increased COVID-19 mortality in an admixed Brazilian population.
Scientific reports
Jul 1, 2025
Mitochondria play a crucial role in cellular respiration and immune responses. Mitochondrial DNA (mtDNA) haplogroups and variants have been associated with various diseases, including COVID-19. This study analyzed complete mtDNA sequences from 467 Br...
Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.
Scientific reports
Jul 1, 2025
This paper presents a novel framework for accurate exercise posture recognition and health indicator prediction based on improved convolutional neural networks. We propose a multi-scale feature fusion architecture incorporating spatiotemporal attenti...
A publicly available benchmark for assessing large language models' ability to predict how humans balance self-interest and the interest of others.
Scientific reports
Jul 1, 2025
Large language models (LLMs) hold enormous potential to assist humans in decision-making processes, from everyday to high-stake scenarios. However, as many human decisions carry social implications, for LLMs to be reliable assistants a necessary prer...
Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.
Scientific reports
Jul 1, 2025
For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance accuracy, facilitate informed decision-making, and optimize resource allocation. A critical aspect of dairy cattle production is the modeling of mastitis...
Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome.
Nature communications
Jul 1, 2025
Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies. We report a plasma EV enrichment strategy using magnetic beads called Mag-Net. Proteomic interrogation of this plasma EV fraction enables the detect...
Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.
Scientific reports
Jul 1, 2025
Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acute lymphoblastic leukemia (T-ALL), a malignant hematological disorder with unrestrained proliferation of immature T-cells. Therefore, the primary obje...
Automatic pain classification in older patients with hip fracture based on multimodal information fusion.
Scientific reports
Jul 1, 2025
Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimodal pain recognition system for older patients with hip fractures using multimodal information fusion. The proposed system employs ResNet-50 for facia...
A novel feature extractor based on constrained cross network for detecting sleep state.
Scientific reports
Jul 1, 2025
With increasing awareness of healthy living and social pressure, more and more people have begun to pay attention to their sleep state. Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or tradition...
Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions.
Scientific reports
Jul 1, 2025
Road traffic accidents (RTAs) in Northwest Ethiopia, a region with a fatality rate of 32.2 per 100,000 residents, pose a critical public health challenge exacerbated by infrastructural deficits and environmental hazards. This study leverages machine ...
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