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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\u2010for\u2010purpose DHTs that will aid in the development of effective therapies for FTD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>DHTs are being developed to assess FTD onset and progression.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Tool developers must overcome numerous challenges in creating effective applications.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Guidance to tool developers aims to benefit FTD drug development and patient care.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.70082","type":"journal-article","created":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T02:05:12Z","timestamp":1745633112000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Developing digital health technologies for frontotemporal degeneration"],"prefix":"10.1002","volume":"21","author":[{"given":"Naomi","family":"Nevler","sequence":"first","affiliation":[{"name":"Frontotemporal Degeneration Center Department of Neurology Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA"},{"name":"Digital Science Lab Abbvie Inc. 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Avedisian School of Medicine and School of Public Health Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Macwhinney","sequence":"additional","affiliation":[{"name":"Department of Psychology 346 Baker Hall Carnegie Mellon University Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bonnie","family":"Wong","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Frontotemporal Disorders Unit, Harvard Medical School Charlestown Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Parish\u2010Morris","sequence":"additional","affiliation":[{"name":"Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA"},{"name":"Center for Autism Research Children's Hospital of Philadelphia Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Geronimo","sequence":"additional","affiliation":[{"name":"Departments of Neurology and Neurosurgery Penn State College of Medicine Hershey Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bryan J.","family":"Hansen","sequence":"additional","affiliation":[{"name":"Janssen Research &amp; 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