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Hampering progress is the difficult challenge of the accurate detection of behavioral symptoms that can help differentiate those at high risk specific to AD versus those with more AD and related dementias (ADRD), who may have AD along with other types of dementia, as well as those who will and will not progress to clinically expressed disease. Technological advances in hardware, software, and analytics are paving the way to opportunities to overcome these long\u2010standing barriers to early clinical symptom detection, when recent and emerging interventions might be most effective. It is important to note that these innovations must not exist in isolation. Integration of data from both AD\/ADRD related studies and non\u2010AD related studies is needed whenever brain\u2010related measures are collected to fully realize the scientific opportunities. We envision a near future of harmonized participant data sharing, encompassing standardized multimodal data alongside emerging digital streams, to deliver an invaluable resource for the global research community.<\/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>Technology is overcoming barriers to accurate early detection of behavioral symptoms of AD\/ADRD.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The National Alzheimer's Coordinating Center is paving the way for the integration of technological advances into AD\/ADRD research.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>A technologically\u2010enabled framework provides a solution for open science on a global scale.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.70883","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T04:06:08Z","timestamp":1762142768000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Technological advances enabling an enhanced understanding of early Alzheimer's disease"],"prefix":"10.1002","volume":"21","author":[{"given":"Rhoda","family":"Au","sequence":"first","affiliation":[{"name":"Department of Anatomy &amp; Neurobiology, Neurology and Epidemiology Boston University Chobanian &amp; Avedisian School of Medicine  Boston Massachusetts USA"},{"name":"School of Public Health  Boston Massachusetts USA"},{"name":"Department of Medicine Boston University Chobanian &amp; Avedisian School of Medicine  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niranjan","family":"Bose","sequence":"additional","affiliation":[{"name":"Gates Ventures  Kirkland Washington USA"},{"name":"Global Research Platforms LLC  Kirkland Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farhad","family":"Imam","sequence":"additional","affiliation":[{"name":"Gates Ventures  Kirkland Washington USA"},{"name":"Global Research Platforms LLC  Kirkland Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vijaya B.","family":"Kolachalama","sequence":"additional","affiliation":[{"name":"Department of Medicine Boston University Chobanian &amp; Avedisian School of Medicine  Boston Massachusetts USA"},{"name":"Department of Computer Science and Faculty of Computing &amp; Data Sciences Boston University  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,11,2]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"World Health Organization.Ageing and health. 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