Scalable Neuroanatomical and Behavioral Phenotyping of Radio Frequency Radiation on Young Zebrafish [0.03%]
无线电频率辐射对斑马鱼神经解剖和行为表型的可扩展神经形态学研究
Xiaoli Wu,Yu Suen Chan,Bingjie Xiang et al.
Xiaoli Wu et al.
Objective: In our wireless-centric world, evaluating the health effects of radio frequency electromagnetic radiation (RF-EMR) is crucial. An existing research gap pertains to the replication of real-world specific absorption rates (SAR) for...
Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy [0.03%]
基于功能性近红外光谱的密闭 confinement 240 天人因综合评估实验研究
Fares Al-Shargie,Usman Tariq,Saleh Al-Ameri et al.
Fares Al-Shargie et al.
Future space exploration missions will expose astronauts to various stressors, making the early detection of mental stress crucial for prolonged missions. Our study proposes using functional near infrared spectroscopy (fNIRS) combined with ...
Neuromodulation Improves Stress Urinary Incontinence-Like Deficits in Female Rabbits [0.03%]
神经调控改善雌兔压力性尿失禁缺陷
F S Rahman,Z Yousuf,F Castelan et al.
F S Rahman et al.
Objective: Stress urinary incontinence (SUI) affects a third of the female population and is characterized by involuntary urine leakage during abdominal efforts such as sneezing, laughing, or coughing. Acute neuromodulation of the bulbospon...
An Integrated Framework for Infectious Disease Control Using Mathematical Modeling and Deep Learning [0.03%]
基于数学建模和深度学习的传染病控制集成框架
Mohammed Salman,Pradeep Kumar Das,Sanjay Kumar Mohanty
Mohammed Salman
Infectious diseases are a major global public health concern. Precise modeling and prediction methods are essential to develop effective strategies for disease control. However, data imbalance and the presence of noise and intensity inhomog...
A Strategy for the In-Silico Assessment of Drug Eluting Stents: A Comparative Study for the Evaluation of Retinoic Acid as a Novel Drug Candidate for Drug Eluting Stents [0.03%]
药物缓释支架的计算机辅助评估方法及视黄酸作为新型药物载体的评价研究
Dimitrios S Pleouras,Vasileios S Loukas,Georgia Karanasiou et al.
Dimitrios S Pleouras et al.
In this work, a methodology for the in-silico evaluation of drug eluting stents (DES) is presented. A stent model developed by Rontis S.A. has been employed. For modeling purposes two different stent parts have been considered: the metal co...
Feasibility of Using Autonomous Ankle Exoskeletons to Augment Community Walking in Cerebral Palsy [0.03%]
用于脑瘫社区行走增强的自主踝足外骨骼的可行性研究
Collin D Bowersock,Zachary F Lerner
Collin D Bowersock
Objective: This pilot study investigated the feasibility and efficacy of using autonomous ankle exoskeletons in community settings among individuals with cerebral palsy (CP). Five participants completed two structured community walking prot...
Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning [0.03%]
基于数据驱动的深度学习双视图乳腺癌超声影像检测技术研究
Ting-Ruen Wei,Michele Hell,Aren Vierra et al.
Ting-Ruen Wei et al.
Goal: This study aims to enhance AI-assisted breast cancer diagnosis through dual-view sonography using a data-centric approach. Methods: We customize a DenseNet-based model on our exclusive dual-view breast ultrasound dataset to enhance th...
Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction [0.03%]
基于机器学习的X射线投影插值，用于改进四维锥形束CT重建技术
Jayroop Ramesh,Donthi Sankalpa,Rohan Mitra et al.
Jayroop Ramesh et al.
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The ...
Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening [0.03%]
优化临床特征分析以改善心血管疾病风险筛查
Sofiya Vyshnya,Rachel Epperson,Felipe Giuste et al.
Sofiya Vyshnya et al.
Objective: To develop a clinical decision support tool that can predict cardiovascular disease (CVD) risk with high accuracy while requiring minimal clinical feature input, thus reducing the time and effort required by clinicians to manuall...
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction [0.03%]
基于解剖的多模态学习用于心肌梗死预测
Ivan-Daniel Sievering,Ortal Senouf,Thabo Mahendiran et al.
Ivan-Daniel Sievering et al.
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed multimodal deep learning framework to pr...