Climate Change: A National Survey on Viewpoints of Italian Epilepsy-Care Professionals [0.03%]
意大利癫痫护理专业人士眼中的气候变化——观点的全国调查研究
Emanuele Bartolini,Simona Balestrini,Giulia Battaglia et al.
Emanuele Bartolini et al.
Objective: To assess awareness, attitudes, and preparedness among Italian epilepsy-care professionals regarding the impact of climate change on epilepsy management. ...
Myasthenia Gravis (MG) Resource Utilization, Epidemiology, Survival, and Treatment Patterns (MG-REST): Estimating the Clinical and Economic Burden in Ontario, Canada [0.03%]
加拿大安大略省肌无力的疾病负担及经济负担估计：资源利用、流行病学、生存率和治疗模式（MG-REST研究）
Carolina Barnett-Tapia,Kobina Quansah,Aysegul Erman et al.
Carolina Barnett-Tapia et al.
Objective: The study purpose was to quantify the epidemiology, healthcare resource utilization (HCRU), costs, survival, and treatment patterns of myasthenia gravis (MG) in Canada using population-based administrative data...
Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology [0.03%]
欧洲神经病学学会人工智能革命在临床神经病学中的应用：新多学科工作组的建立
Alice Accorroni,Raphael Wurm,Roland Wiest et al.
Alice Accorroni et al.
Background: Artificial intelligence (AI) is rapidly transforming clinical neurology, offering significant potential to enhance diagnosis, treatment, and disease management. Despite this transformative promise, AI adoption...
The Human Intracerebral EEG Platform: A Cloud-Based Trusted Research Environment for Collaborative SEEG Research in Epilepsy and Neuroscience [0.03%]
基于云的受信任研究环境的人类脑内EEG平台癫痫和神经科学的协作SEEG研究
Carolina Ciumas,Florian Perrin,Florian Sipp et al.
Carolina Ciumas et al.
Introduction: Lack of standardised methodologies and secure processing environments for intracerebral EEG (iEEG) data creates critical barriers to international collaboration and reproducibility in clinical neuroscience. ...
Climate Change, Neurological Disorders and Brain Health: To-Know Concepts and Future Actions by the EAN Environmental Influences in Neurology Task Force [0.03%]
欧洲神经学会环境与神经病学任务组关于气候变化、神经系统疾病和脑健康的基本概念和未来行动建议
Edoardo Caronna,Sanjay M Sisodiya,Patricia Pozo-Rosich et al.
Edoardo Caronna et al.
Background and purpose: While the estimation of the climate change effects is dependent on the models used, there is a growing consensus that emissions of greenhouse gases (GHG) cause global warming, resulting in the acce...
SOD1 Variants in Patients With Amyotrophic Lateral Sclerosis in Central Eastern Europe: From Genetic Testing to SOD1 Targeted Therapy [0.03%]
中心东欧肌萎缩侧索硬化患者中的SOD1变异：从基因检测到SOD1靶向治疗
Magui Khazaal,Paula Stretavská,Magdalena Kuźma-Kozakiewicz et al.
Magui Khazaal et al.
Background: Amyotrophic lateral sclerosis (ALS) is one of the most devastating fatal motor neuron diseases, characterized by progressive degeneration of motor neurons in the brain and spinal cord. A significant advance in...
Multicenter Study
European journal of neurology. 2026 Aug;33(8):e70717. DOI:10.1111/ene.70717 2026
Karl Sjölin,Björn Röyter,Bianka Forgo et al.
Karl Sjölin et al.
Background and aim: Brain-derived tau (BD-tau) is a predominantly CNS-derived form of tau protein detectable in blood that reflects brain injury and has emerged as a potential biomarker in ischemic stroke for assessing ne...
Observational Study
European journal of neurology. 2026 Aug;33(8):e70735. DOI:10.1111/ene.70735 2026
Refining Electrophysiological Criteria in CIDP and MMN: Toward a Unified Definition of Motor Conduction Block and Proximal Temporal Dispersion [0.03%]
CIDP和MMN的电生理标准的修订：运动传导阻滞和近端时距散射的统一定义方向
Chiara Gallo,Carla Fasano,Angelo Fonseca et al.
Chiara Gallo et al.
Background: The definition of motor conduction block (CB) and proximal temporal dispersion (TD) for the diagnosis of CIDP and MMN remains debated, particularly regarding whether CB should be based on amplitude or area red...
Evaluating the First CE-Marked LLM-Based Chatbot for Evidence-Based Neurology [0.03%]
评估首个CE标志的基于大语言模型的聊天机器人在循证神经病学中的应用效果
Patricia Kirschner,Paula Z Epping,Sven G Meuth et al.
Patricia Kirschner et al.
Background: Large language models (LLMs) are entering clinical workflows for information retrieval and decision support, but concerns persist about factual accuracy and traceability to evidence. Prof. Valmed is the first ...