Development of a Type 2 Diabetes Prediction Model Using Specific Health Checkup Data and Extraction of Predictive Factors [0.03%]
基于特定健康检查数据的2型糖尿病预测模型的开发及预测因素提取
Kenichiro Shimai,Kazuki Ohashi,Teppei Suzuki et al.
Kenichiro Shimai et al.
Background: Specific health checkups in Japan aim to prevent and detect non-communicable diseases (NCDs). Lifestyle information and non-invasive measurements obtained during these checkups are valuable for population heal...
Digital and Intelligent Rehabilitation Technologies in Stroke and Neurological Disorders: A Systematic Review of Artificial Intelligence, Virtual Reality, Gamification, and Emerging Therapeutic Platforms in Neurorehabilitation [0.03%]
卒中和神经疾病数字及智能康复技术的系统评价：人工智能、虚拟现实、游戏化及新兴治疗平台在神经康复中的应用
Majeda M El-Banna,Moattar Raza Rizvi,Waqas Sami et al.
Majeda M El-Banna et al.
Artificial intelligence (AI), virtual reality (VR), gamification, and telerehabilitation are increasingly incorporated into neurorehabilitation to deliver adaptive, personalized, and remotely accessible interventions for individuals with st...
Beyond Decellularization: Remnant Mitochondrial DNA Can Act as Hidden Damage-Associated Molecular Pattern [0.03%]
超越脱细胞化：残留线粒体DNA可以作为隐匿的损伤相关分子模式起作用
Elena V A van Hengel,Kuan Liu,Henk P Roest et al.
Elena V A van Hengel et al.
Tissue decellularization aims to obtain bioscaffolds for regenerative applications by removing all cellular components while preserving the extracellular matrix (ECM) architecture. Although decellularization removes the majority of linear n...
Engineering the Future of Heart Failure Therapeutics: Integrating 3D Printing, Silicone Molding, and Translational Development for Implantable Cardiac Devices [0.03%]
未来心脏衰竭治疗的工程学：集成3D打印、硅胶成型及转化开发用于植入式心脏设备
Carleigh Eagle,Aarti Desai,Michael Franklin et al.
Carleigh Eagle et al.
Three-dimensional (3D) anatomic modeling derived from high-resolution medical imaging, such as computed tomography (CT) and magnetic resonance imaging (MRI), has been increasingly adopted in preclinical testing and device development. This ...
An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms [0.03%]
一种集成框架：腹主动脉瘤的自动图像分割和个性化壁应力评估
Merjulah Roby,Juan C Restrepo,Deepak K Shan et al.
Merjulah Roby et al.
Abdominal Aortic Aneurysm (AAA) remains a significant public health challenge, with an 82.1% increase in related fatalities from 1990 to 2019. In the United States alone, AAA complications resulted in an estimated 13,640 deaths between 2018...
Cascaded Deep Learning-Based Model for Classification and Segmentation of Plaques from Carotid Ultrasound Images [0.03%]
基于级联深度学习的颈动脉超声图像斑块分类与分割模型
Bo-Wen Ren,Ran Zhou,Xinyao Cheng et al.
Bo-Wen Ren et al.
Carotid plaque classification based on ultrasound echogenicity and quantification of plaque burden are crucial in stroke risk assessment. In this work, we propose a framework that leverages the synergy between classification and segmentatio...
A Parametric Finite Element Analysis of Chick Embryo Aortic Valve Leaflet Biomechanics [0.03%]
鸡胚胎主动脉瓣叶生物力学的参数有限元分析
Onur Mutlu,Sandra Rugonyi
Onur Mutlu
The anatomy and mechanical strength of aortic valve leaflets are critical determinants of their biomechanical behavior and long-term structural integrity. The embryonic developmental period, when valves are forming, is critical to establish...
A Novel, Low-Cost, 3D-Printed Motorized Injector for Retinal Sheet Transplantation [0.03%]
一种低成本的新型电机注射器用于视网膜片移植
Jerald Lim,Francis Ung,Samir Malhotra et al.
Jerald Lim et al.
Retinal transplantation offers promise for restoring vision in advanced retinal degeneration. However, manual delivery of retinal sheets is often hindered by imprecise placement and collateral tissue damage resulting from instrument instabi...
ICIsc: A Deep Learning Framework for Predicting Immune Checkpoint Inhibitor Response by Integrating scRNA-Seq and Protein Language Models [0.03%]
ICIsc：通过整合单细胞 RNA 测序和蛋白质语言模型预测免疫检查点抑制剂反应的深度学习框架
Zhenyu Jin,Di Zhang,Luonan Chen
Zhenyu Jin
Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 and CTLA-4 are widely used in the treatment of several cancers and have significantly improved survival outcomes in responsive patients. However, a substantial proportion of patients ...
Operations Research for Pediatric Elective Surgery Planning: Example of a Mathematical Model [0.03%]
用于儿科择期手术计划的操作研究数学模型示例
Martina Doneda,Sara Costanzo,Giuliana Carello et al.
Martina Doneda et al.
The management of operating rooms (ORs) is one of the most studied topics in operations research applied to healthcare. In particular, scheduling elective surgeries in a pediatric and teaching hospital can be a challenge because disruptions...