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Home\u2010based sensors show promise in evaluating behavioral features in near real time. Digital technologies across these methodologies can detect precise measures of cognition, mood, sleep, gait, speech, motor activity, behavior patterns, and additional features relevant to health. As a neurodegenerative condition with insidious onset, Alzheimer disease and other dementias (AD\/D) represent a key target for advances in monitoring disease symptoms. Studies to date evaluating the predictive power of digital measures use inconsistent approaches to characterize these measures. Comparison between different digital collection methods supports the use of passive collection methods in settings in which active participant engagement approaches are not feasible. Additional studies that analyze how digital measures across multiple data streams can together improve prediction of cognitive impairment and early\u2010stage AD are needed. Given the long timeline of progression from normal to diagnosis, digital monitoring will more easily make extended longitudinal follow\u2010up possible. Through the American Heart Association\u2013funded Strategically Focused Research Network, the Boston University investigative team deployed a platform involving a wide range of technologies to address these gaps in research practice. Much more research is needed to thoroughly evaluate limitations of passive monitoring. Multidisciplinary collaborations are needed to establish legal and ethical frameworks for ensuring passive monitoring can be conducted at scale while protecting privacy and security, especially in vulnerable populations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.123.031247","type":"journal-article","created":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T05:12:33Z","timestamp":1705381953000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":29,"title":["Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research"],"prefix":"10.1161","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7935-5300","authenticated-orcid":false,"given":"Zachary","family":"Popp","sequence":"first","affiliation":[{"name":"Department of Anatomy &amp; Neurobiology Boston University Chobanian &amp; Avedisian School of Medicine Boston MA USA"},{"name":"Boston University Alzheimer\u2019s Disease Research Center, Boston University Chobanian &amp; 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