{"id":3455,"date":"2026-02-15T14:32:46","date_gmt":"2026-02-15T18:32:46","guid":{"rendered":"https:\/\/www.bumc.bu.edu\/fhs-bap\/?p=3455"},"modified":"2026-03-31T14:37:36","modified_gmt":"2026-03-31T18:37:36","slug":"dr-rhoda-au-co-authors-landmark-study-on-ai-and-multi-modal-digital-biomarkers-for-alzheimers-detection","status":"publish","type":"post","link":"https:\/\/www.bumc.bu.edu\/fhs-bap\/2026\/02\/15\/dr-rhoda-au-co-authors-landmark-study-on-ai-and-multi-modal-digital-biomarkers-for-alzheimers-detection\/","title":{"rendered":"Dr. Rhoda Au Co-Authors Landmark Study on AI and Multi-Modal Digital Biomarkers for Alzheimer&#8217;s Detection"},"content":{"rendered":"<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Our own Dr. Rhoda Au is at the forefront of a major shift in how Alzheimer&#8217;s disease may one day be detected \u2014 earlier, more accurately, and right from a smartphone.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">A study published in the <em>Journal of Prevention of Alzheimer&#8217;s Disease<\/em> (Volume 13, January 2026), co-authored by Dr. Au, examines how digital technologies are opening new doors for detecting Alzheimer&#8217;s disease and related dementias (ADRD) far earlier than traditional methods allow.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Beyond Traditional Testing<\/strong><\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">For decades, diagnosing Alzheimer&#8217;s has relied on in-person, paper-based neuropsychological assessments \u2014 valuable tools, but ones with clear limitations in scale, sensitivity, and early detection. The new research demonstrates how AI-powered analysis of digital voice recordings and ocular (eye) scans can capture cognitive and behavioral changes with far greater precision, offering a scalable path to earlier intervention.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>The Power of Multiple Signals<\/strong><\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">One of the study&#8217;s key insights is the growing importance of combining multiple types of data. While speech analysis alone has shown strong early promise, the research points to a rapidly emerging frontier: multi-modal sensors embedded in everyday smartphones and internet-connected devices that can collect a rich picture of brain health over time \u2014 no clinic visit required.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Dr. Au and her co-authors highlight AI-analyzed speech as a particularly promising avenue, building on years of Framingham Heart Study voice recording data, where subtle changes in language patterns have been linked to future cognitive decline.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Why This Matters<\/strong><\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Early detection is everything in Alzheimer&#8217;s care. The ability to identify at-risk individuals before significant symptoms emerge \u2014 using tools as accessible as a phone \u2014 could transform how the disease is managed and ultimately prevented.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">This work is part of Dr. Au&#8217;s broader mission through the Framingham Heart Study Brain Aging Program (FHS-BAP) to pioneer a new era of precision brain health.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><a class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2274580725003413\">Read the study in the Journal of Prevention of Alzheimer&#8217;s Disease<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our own Dr. Rhoda Au is at the forefront of a major shift in how Alzheimer&#8217;s disease may one day be detected \u2014 earlier, more accurately, and right from a smartphone. A study published in the Journal of Prevention of Alzheimer&#8217;s Disease (Volume 13, January 2026), co-authored by Dr. Au, examines how digital technologies are [&hellip;]<\/p>\n","protected":false},"author":22858,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/posts\/3455"}],"collection":[{"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/users\/22858"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/comments?post=3455"}],"version-history":[{"count":1,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/posts\/3455\/revisions"}],"predecessor-version":[{"id":3456,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/posts\/3455\/revisions\/3456"}],"wp:attachment":[{"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/media?parent=3455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/categories?post=3455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/fhs-bap\/wp-json\/wp\/v2\/tags?post=3455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}