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开发用于额颞叶痴呆的数字健康技术。

Developing digital health technologies for frontotemporal degeneration.

作者信息

Nevler Naomi, Niehoff Debra, Gleixner Amanda M, Dodge Shana, Vogel Adam P, Hill Derek L, Ducharme Simon, Staffaroni Adam M, Yunusova Yana, Au Rhoda, Macwhinney Brian, Wong Bonnie, Parish-Morris Julia, Geronimo Andrew, Hansen Bryan J, Beattie Zachary T, Stephenson Diane T, Boxer Adam L, Dacks Penny, Rohrer Jonathan D

机构信息

Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Digital Science Lab, Abbvie Inc., North Chicago, Illinois, USA.

出版信息

Alzheimers Dement. 2025 Apr;21(4):e70082. doi: 10.1002/alz.70082.

DOI:10.1002/alz.70082
PMID:40285380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12032191/
Abstract

Frontotemporal degeneration (FTD) is a rare neurodegenerative disease in which patients can present with cognitive, behavioral, motor, and speech impairment. Currently, there are no approved therapies available to slow or halt disease progression. Detection and monitoring of patient symptoms is challenging for this heterogeneous disease and has negatively impacted progress in FTD clinical trials. Rapid technological advancements can promote the development of digital health technologies (DHTs) capable of capturing even the most subtle clinical impairments. DHTs are computing platforms being designed to measure meaningful aspects of disease onset and progression. Here we present some of the numerous tools currently being developed to measure changes in the functional domains that become impaired in FTD, challenges faced by developers, and a proposed roadmap for developing fit-for-purpose DHTs that will aid in the development of effective therapies for FTD. HIGHLIGHTS: DHTs are being developed to assess FTD onset and progression. Tool developers must overcome numerous challenges in creating effective applications. Guidance to tool developers aims to benefit FTD drug development and patient care.

摘要

额颞叶变性(FTD)是一种罕见的神经退行性疾病,患者可能会出现认知、行为、运动和言语障碍。目前,尚无获批的疗法可减缓或阻止疾病进展。对于这种异质性疾病,检测和监测患者症状具有挑战性,并且对FTD临床试验的进展产生了负面影响。快速的技术进步能够推动数字健康技术(DHT)的发展,这些技术甚至能够捕捉到最细微的临床损伤。DHT是旨在测量疾病发作和进展的有意义方面的计算平台。在此,我们介绍目前正在开发的众多工具中的一些,这些工具用于测量FTD中受损的功能领域的变化、开发者面临的挑战,以及开发适用于目的的DHT的拟议路线图,这将有助于开发针对FTD的有效疗法。要点:正在开发DHT以评估FTD的发作和进展。工具开发者在创建有效应用程序时必须克服众多挑战。针对工具开发者的指导旨在使FTD药物开发和患者护理受益。

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Accelerating Parkinson's Disease drug development with federated learning approaches.利用联邦学习方法加速帕金森病药物研发。
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Digital Biomarkers for Neurodegenerative Disease.用于神经退行性疾病的数字生物标志物
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Digital Health Technologies for Alzheimer's Disease and Related Dementias: Initial Results from a Landscape Analysis and Community Collaborative Effort.数字健康技术在阿尔茨海默病和相关痴呆症中的应用:一项景观分析和社区合作努力的初步结果。
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Regulatory Pathways for Qualification and Acceptance of Digital Health Technology-Derived Clinical Trial Endpoints: Considerations for Sponsors.数字健康技术衍生的临床试验终点的资格认定和接受的监管途径:申办者的考量因素
Clin Pharmacol Ther. 2025 Jan;117(1):56-72. doi: 10.1002/cpt.3398. Epub 2024 Aug 15.
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Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study.探讨智能手机使用与额颞叶痴呆临床严重程度之间的关联:概念验证研究。
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Bench-to-bedside imaging in brain metastases: a road to precision oncology.脑转移瘤的从基础到临床转化影像学研究:精准肿瘤学之路。
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Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration.智能手机认知测试用于额颞叶变性的可靠性和有效性。
JAMA Netw Open. 2024 Apr 1;7(4):e244266. doi: 10.1001/jamanetworkopen.2024.4266.
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