Application of multimodal nanotechnology and standardized nursing management in ventricular arrhythmia [0.03%]
Xueqin Ding,Lianghong Zhang,Fangming Guo et al.
Xueqin Ding et al.
Ventricular arrhythmias, particularly ventricular fibrillation, remain a leading cause of sudden cardiac death and pose persistent clinical challenges due to limitations in targeted therapy and the complexity of arrhythmogenic substrates. m...
Incorporating normal periventricular changes for enhanced pathological white matter hyperintensity segmentation: on multiclass deep learning approaches [0.03%]
结合正常的脑室周围变化的病理性白质高信号的多分类深度学习方法研究
Mahdi Bashiri Bawil,Mousa Shamsi,Ali Fahmi Jafargholkhanloo et al.
Mahdi Bashiri Bawil et al.
White matter hyperintensities (WMH) detected on FLAIR MRI sequences serve as important biomarkers for cerebrovascular pathology, correlating with increased risks of cognitive decline, stroke, and demyelination. Contemporary automated segmen...
The role of brain-derived neurotrophic factor in cardiometabolic disease and mental health within the spinal cord injury population: a systematic review [0.03%]
脑源性神经营养因子在脊髓损伤人群的心代谢疾病和精神健康方面的作用：系统综述
Thomas P Walden,Matthew Cleland,Philemon Tsang et al.
Thomas P Walden et al.
Background: Brain-derived neurotrophic factor (BDNF) is a protein crucial to the survival, growth, and differentiation of neurons in the brain and spinal cord. BDNF is monitored across many populations as an indicator of ...
Synergistic enhancement of peripheral nerve regeneration using electrospun polylactic acid conduits with leupeptin and methylprednisolone in rats [0.03%]
负载抑肽酶和甲基强的松龙电纺聚乳酸纳米纤维管促进坐骨神经缺损的再生修复
Xiangchang Cao,Fuzhou Yang,Yaping Zhu et al.
Xiangchang Cao et al.
Peripheral nerve injuries pose significant clinical challenges, leading to sensory and motor impairments, neuralgia, and socioeconomic burdens due to suboptimal recovery. This study evaluated the efficacy of electrospun polylactic acid (PLA...
Paincontrol: identity-preserving pain expression transfer with generative diffusion models [0.03%]
基于生成扩散模型的身份保护疼痛表情迁移方法
Yasamin Zarghami,Muhammad Muzammil,Vida Adeli et al.
Yasamin Zarghami et al.
Automated pain detection models rely on large, diverse facial expression datasets; yet pain expression data are scarce due to privacy concerns and ethical constraints. This study explores synthetic pain expression generation as a potential ...
Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance [0.03%]
微生物学中的人工智能：宏基因组学、诊断和抗药性监测的含义
Renu Khangarot,Vandana Kumari,Rajeev Mishra et al.
Renu Khangarot et al.
Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical data for the monitoring of infectious disease and antimicrobial resistance (AMR). Consider...
Sarah Gregman,Wade W Michaelchuk,Lauren C Belfiore et al.
Sarah Gregman et al.
Background: Adapted dance is a promising intervention to improve physical and psychosocial well-being post-stroke. At-home participation with a live-streamed dance program could address barriers to in-person attendance (e...
Lower-limb prosthetic mechanisms: recent progress, control innovations and barriers to real-world adoption [0.03%]
下肢假体机制：近期进展、控制创新及实际应用障碍
Syed Riyas Ahamed,Sandip Saha,Awani Bhushan
Syed Riyas Ahamed
Lower-limb impairments caused by amputation, stroke or paralysis severely impact mobility and independence. Assistive technologies for these conditions include passive prostheses, powered limbs and robotic exoskeletons, each offering distin...
A randomised controlled study of the efficacy of Internet of Things-based telerespiratory rehabilitation for chronic respiratory diseases [0.03%]
基于物联网的远程呼吸康复治疗慢性呼吸道疾病的有效性随机对照研究
Mengmeng Wu,Wenjuan Xu,Xin Zhao et al.
Mengmeng Wu et al.
Objective: To explore IoT-based remote respiratory rehabilitation for chronic respiratory disease patients at home. Design: This was a ...
Development and validation of a machine learning model for predicting 6-month mortality in patients with infective endocarditis [0.03%]
感染性心内膜炎患者6个月死亡率的机器学习模型的开发和验证
Xiujuan Wu,Yue Han,Weili Liu et al.
Xiujuan Wu et al.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting 6-month all-cause mortality in patients diagnosed with infective endocarditis (IE), using retrospective data from a si...