Postoperative outcome analysis of chronic rhinosinusitis using transfer learning with pre-trained foundation models based on endoscopic images: a multicenter, observational study [0.03%]
基于内镜图像的慢性鼻窦炎术后结局分析：预训练基础模型迁移学习的多中心观察性研究
Wentao Gong,Keguang Chen,Xiao Chen et al.
Wentao Gong et al.
Background: This study developed a foundation model-based analytical framework for the analysis of postoperative endoscopic images in chronic rhinosinusitis (CRS). The framework leverages the standardized identification a...
The synergic impact of decellularized testis scaffold and extracellular vesicles derived from human semen on spermatogonial stem cell survival and differentiation [0.03%]
脱细胞睾丸支架和源自人类精液的细胞外囊泡对支持 spermatogonial 干细胞存活和分化作用的影响研究
Farideh Afshari,Sanaz Alaee,Mahintaj Dara et al.
Farideh Afshari et al.
Introduction: Decellularized scaffolds create a biomimetic niche to support spermatogonial stem cell (SSC) function and engraftment. Semen-derived extracellular vesicles (SEVs), containing proteins, lipids, and microRNAs ...
A hybrid model for detecting motion artifacts in ballistocardiogram signals [0.03%]
一种检测球isto图信号中运动伪迹的混合模型方法
Yuelong Jiang,Han Zhang,Qizheng Zeng
Yuelong Jiang
Background: The field of contactless health monitoring has witnessed significant advancements with the advent of piezoelectric sensing technology, which enables the monitoring of vital signs such as heart rate and respira...
Advancing ADMET prediction for major CYP450 isoforms: graph-based models, limitations, and future directions [0.03%]
基于图的ADMET预测计算模型的研究进展、局限性及未来方向——以主要CYP450同工酶为例
Asmaa A Abdelwahab,Mustafa A Elattar,Sahar Ali Fawzi
Asmaa A Abdelwahab
Understanding Cytochrome P450 (CYP) enzyme-mediated metabolism is critical for accurate Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) predictions, which play a pivotal role in drug discovery. Traditional approaches, ...
Odontogenic/osteogenic differentiation of dental pulp stem cells on a Biodentine-coated polymer nanofibers [0.03%]
生物瓷涂层聚合物纳米纤维诱导牙髓干细胞向牙本质/骨方向分化
Zahra Sarvarian,Parisa Sanaei-Rad,Farzad Moradikhah et al.
Zahra Sarvarian et al.
Background: Tissue engineering has become increasingly applied for tissue repair purposes. Scaffolds, one of the main components of tissue engineering, provide a supportive framework for cell culture and growth. The objec...
In vitro study on the osteoimmunological potential of magnesium implants (WE43MEO) [0.03%]
体外研究镁植入物(WE43MEO)的骨免疫学潜能
Sabrin Aydin,Ana Prates Soares,Heilwig Fischer et al.
Sabrin Aydin et al.
Introduction: Bioresorbable implants significantly advance orthopedics and regenerative medicine, offering advantages over permanent implants for bone regeneration. They eliminate the need for secondary surgery and reduce...
Special collection in association with the 2024 International Conference on Aging, Innovation and Rehabilitation [0.03%]
与2024年老龄化、创新与康复国际会议特别合作专辑
Babak Taati,Milos Popovic
Babak Taati
Development and validation of a clinical prediction model for concurrent pulmonary infection in convalescent patients with intracerebral hemorrhage [0.03%]
并发脑出血恢复期肺部感染的临床预测模型构建及验证
Jixiang Xu,Xiaoxiao Han,Yinliang Qi et al.
Jixiang Xu et al.
Objectives: This study aimed to develop and validate a clinical prediction model for assessing the risk of concurrent pulmonary infection (PI) in patients recovering from intracerebral hemorrhage (ICH). ...
Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis [0.03%]
开发基于深度学习的布鲁氏菌病脊柱炎磁共振诊断模型
Binyang Wang,Jinquan Wei,Zhijun Wang et al.
Binyang Wang et al.
Introduction: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infections with distinct treatment protocols. Rapid and accurate differentiation between these two conditions is crucial for ef...
Clinical value of serum uric acid and homocysteine levels in predicting the occurrence of atrial fibrillation in patients with type 2 diabetes mellitus [0.03%]
血尿酸和同型半胱氨酸水平对2型糖尿病患者房颤发生的预测价值及临床意义
Dong Li,Jinlong Deng,Lixian Ma
Dong Li
Background: The objective of this study was to evaluate the predictive value of serum uric acid (UA) and homocysteine (Hcy) levels for atrial fibrillation (AF) development in type 2 diabetes mellitus (T2DM) patients. ...