[Application of nanomaterials-enhanced magnetic resonance imaging in precise diagnosis of pan-vascular diseases] [0.03%]
纳米材料增强磁共振技术在泛血管疾病精准诊断中的应用研究进展
Yao Li,Peisen Zhang,Ni Zhang
Yao Li
Pan-vascular diseases encompass a range of systemic conditions characterized by sharing a common pathologic basis of vascular deterioration. Due to the complexity of these diseases, a thorough understanding on their similarities and differe...
[Ethical considerations for artificial intelligence-enhanced brain-computer interface] [0.03%]
人工智能增强型脑机接口的伦理考量
Yuyu Cao,Yuhang Xue,Hengyuan Yang et al.
Yuyu Cao et al.
Artificial intelligence-enhanced brain-computer interfaces (BCI) are expected to significantly improve the performance of traditional BCIs in multiple aspects, including usability, user experience, and user satisfaction, particularly in ter...
[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges] [0.03%]
人工智能预测乳腺癌新辅助化疗病理完全缓解的现状、挑战及展望
Sunwei He,Xiujuan Li,Yuanzhong Xie et al.
Sunwei He et al.
With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies sign...
[Research progress on deep learning-based computer-aided diagnosis of thyroid nodules using ultrasound imaging] [0.03%]
基于深度学习的甲状腺结节超声影像辅助诊断研究进展
Xinyuan Zhou,Min Qiu,Jiangfeng Shang et al.
Xinyuan Zhou et al.
Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose signific...
[Advances in radiomics for early diagnosis and precision treatment of lung cancer] [0.03%]
基于影像组学的肺癌早期诊断和精准治疗研究进展
Jiayi Li,Wenxin Luo,Zhoufeng Wang et al.
Jiayi Li et al.
Lung cancer is a leading cause of cancer-related deaths worldwide, with its high mortality rate primarily attributed to delayed diagnosis. Radiomics, by extracting abundant quantitative features from medical images, offers novel possibiliti...
[Experimental study on the treatment of postmenopausal osteoporosis with low-frequency pulsed electromagnetic fields] [0.03%]
低频脉冲电磁场治疗绝经后妇女骨质疏松症的实验研究
Zidong An,Liqiang Wang,Yi Wu et al.
Zidong An et al.
This study aims to investigate the therapeutic efficacy of 50 Hz-0.6 mT low-frequency pulsed electromagnetic field (PEMF) on postmenopausal osteoporosis in ovariectomized rats. Thirty 3-month-old female SD rats were selected and divided int...
[Neuroprotective effects of idebenone combined with borneol via the dopamine signaling pathway in a transgenic zebrafish model of Parkinson's disease] [0.03%]
丁苯肽联合冰片通过多巴胺信号通路改善帕金森病斑马鱼模型神经保护作用的研究
Qifei Wang,Yayun Zhong,Yanan Yang et al.
Qifei Wang et al.
The aim of this study is to investigate the protective effect of idebenone (IDE) combined with borneol (BO) against Parkinson's disease (PD). In this study, wild-type AB zebrafish and transgenic Tg ( vmat2: GFP) zebrafish with green fluores...
[Three-dimensional printed scaffolds with sodium alginate/chitosan/mineralized collagen for promoting osteogenic differentiation] [0.03%]
[用于促进成骨分化的海藻酸钠/壳聚糖/矿化胶原三维打印支架]
Bo Yang,Xiaojie Lian,Haonan Feng et al.
Bo Yang et al.
The three-dimensional (3D) printed bone tissue repair guide scaffold is considered a promising method for treating bone defect repair. In this experiment, chitosan (CS), sodium alginate (SA), and mineralized collagen (MC) were combined and ...
[Prediction of protein Kbhb sites based on learnable feature embedding] [0.03%]
基于可学习特征嵌入的蛋白质Kbhb位点预测
Zhisen Wei,Zhiwei Wang,Jinyao Yu et al.
Zhisen Wei et al.
Protein lysine β-hydroxybutyrylation (Kbhb) is a newly discovered post-translational modification associated with a wide range of biological processes. Identifying Kbhb sites is critical for a better understanding of its mechanism of actio...
[Brain computer interface nursing bed control system based on deep learning and dual visual feedback] [0.03%]
基于深度学习和双视觉反馈的脑机接口护理床控制系统
Pai Wang,Xingxing Ji,Jiali Wang et al.
Pai Wang et al.
In order to meet the need of autonomous control of patients with severe limb disorders, this paper designs a nursing bed control system based on motor imagery-brain computer interface (MI-BCI). In view of the low decoding performance of cro...