Nevler, Naomi;
Niehoff, Debra;
Gleixner, Amanda M;
Dodge, Shana;
Vogel, Adam P;
Hill, Derek L;
Ducharme, Simon;
... Rohrer, Jonathan D; + view all
(2025)
Developing digital health technologies for frontotemporal degeneration.
Alzheimer's & Dementia
, 21
(4)
, Article e70082. 10.1002/alz.70082.
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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.
| Type: | Article |
|---|---|
| Title: | Developing digital health technologies for frontotemporal degeneration |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/alz.70082 |
| Publisher version: | https://doi.org/10.1002/alz.70082 |
| Language: | English |
| Additional information: | Copyright © 2025 Janssen Research & Development, LLC, a Johnson & Johnson company and The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, https://creativecommons.org/licenses/by-nc-nd/4.0/, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
| Keywords: | Dementia, diagnostics, digital health technologies, disease progression and monitoring, frontotemporal degeneration, neurodegeneration |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10213323 |
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