Using swin UNETR deep model for automated detection of alveolar bone fenestration/dehiscence in CBCT [0.03%]
基于Swin UNETR深度模型的CBCT中肺泡骨缺陷的自动化检测方法研究
Ailin Xu,Hanxiao Huang,Bin Zhang et al.
Ailin Xu et al.
Objectives: This study aims to develop a deep learning-based model for the automatic detection of fenestration and dehiscence in Cone Beam Computed Tomography (CBCT) images, providing a quantitative tool for diagnosing al...
Liposome-based drug delivery systems for skin wound healing: a promising drug delivery strategy [0.03%]
基于脂质体的皮肤伤口愈合递药系统：一种有前景的给药策略
Zhensheng Ma,Kaiying Zhang,Jiayu Luo et al.
Zhensheng Ma et al.
Skin wound healing remains a significant challenge in clinical medicine. Liposomes (LPs), as a versatile drug delivery system, have garnered widespread attention for their potential in promoting skin wound healing. However, the limitations ...
Primary fixation stability evaluation of pre-bent titanium miniplate configurations in mandibular reconstruction [0.03%]
预弯钛小板在下颌骨修复中的初期稳定性评价
Philipp Ruf,Özgür Cebeci,Vincenzo Orassi et al.
Philipp Ruf et al.
Mandibular reconstruction is a commonly performed procedure in maxillofacial surgery with many different possible reconstructive strategies. Generally, modular fixation with miniplates has the advantage of an easier plate removal, mostly po...
Plant-derived extracellular vesicles and nanoparticles: origins, functions, and applications [0.03%]
植物源性细胞外囊泡和纳米粒子：起源、功能及应用
Faris Alsaid,Brisa Davila,Baoye He
Faris Alsaid
Plant-derived extracellular vesicles (PDEVs) and plant-derived nanoparticles (PDNPs) are emerging plant-based nanomaterials with growing relevance in biotechnology, agriculture, and health. Although often grouped together, they arise from d...
Plant-derived nanovesicles from Ginkgo biloba seeds mitigate LPS-induced endothelial dysfunction and promote vascular homeostasis [0.03%]
基于银杏种子的植物源性纳米囊泡可缓解脂多糖诱导的内皮细胞功能障碍并促进血管稳态
Maneea Moubarak,Emese Szilágyi-Tolnai,Ani Barbulova et al.
Maneea Moubarak et al.
Background: Endothelial dysfunction is increasingly recognized as an early and central event in the onset of cardiovascular and neurodegenerative diseases. Ginkgo biloba extracts are known for their vascular-protective pr...
An explainable deep learning framework for biosensing data interpretation in biomedical engineering and real-time health diagnostics [0.03%]
生物医学工程和实时健康诊断中用于解释生物传感器数据的可解释深度学习框架
Zheng Yang,Weihong Huang,Heng Zhang
Zheng Yang
Introduction: This work proposes an explainable deep learning framework to transform complex biosignal dynamics into interpretable health assessments. The core of our approach is the PhysioGraph Inference Network (PGIN), ...
Machine learning-based estimation of structure-specific load around the ankle and knee joint during running using IMU data [0.03%]
基于机器学习的使用IMU数据估算跑步时踝关节和膝关节周围结构特定负荷的方法
Sieglinde Bogaert,Jesse Davis,Benedicte Vanwanseele
Sieglinde Bogaert
Running imposes substantial repetitive loads on the musculoskeletal system, which can lead to running-related overuse injuries. Therefore, effective structure-specific load management is essential for both prevention and rehabilitation. How...
Correction: GelMA-GelDopa-Sr double-network hydrogel promotes skin regeneration by enhancing angiogenesis and macrophage polarization [0.03%]
纠正：明胶甲基丙烯酸酯-多巴-硫酸锶双网络水凝胶通过促进血管生成和巨噬细胞极化来促进皮肤再生
Yuxuan Su,Fang Zhao,Shuang Liu et al.
Yuxuan Su et al.
[This corrects the article DOI: 10.3389/fbioe.2025.1722918.]. Keywords: GelMA-GelDopa-Sr hydrogel; angiogene...
A finite element study on three maxillary protraction devices for treating maxillary sagittal hypoplasia at different levels of bone fusion [0.03%]
三种上颌前方牵引矫治器在不同骨缝期治疗上颌横行发育不足的有限元分析
Kaiyuan Sun,Gang Zhao,Yinan Jin et al.
Kaiyuan Sun et al.
Objective: This study utilized three-dimensional finite element analysis to assess stress distribution in the maxilla and sutures, as well as craniofacial bone and tooth displacement, in patients exhibiting mild to modera...
Optimizing wearable IMU configurations for running gait analysis: a machine learning-based sensor fusion approach [0.03%]
基于机器学习的传感器融合方法优化可穿戴IMU配置以进行跑步步态分析
Ye Yuan,Yaohui Yu,Shanshan Cai et al.
Ye Yuan et al.
Objective: This study applies machine learning (ML) techniques to address this hardware limitation by determining the feasibility of reducing a high-dimensional 17-sensor network to a "minimal-optimal" subset without comp...