{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T17:07:40Z","timestamp":1788973660754,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Aging Cell"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>On October 22nd, 2025, Brain Aging Symposium took place at Harvard Medical School bringing together leading researchers from academia and partner organizations to discuss recent advances in measuring and monitoring human brain aging trajectories, with a particular focus on Alzheimer's disease (AD). A central theme emerged: achieving \u201cthe right treatment for the right person and the right time\u201d through precision medicine approaches. Key advances included the unprecedented validation of plasma\u2010based biomarkers, particularly brain\u2010derived p\u2010Tau217 that can identify seeding AD pathology with remarkable specificity, making large\u2010scale screening newly feasible. Integrating multi\u2010level \u201comic\u201d modalities, spanning genetic information, molecular biomarkers of nutrition, lipid and protein signatures, neuroimaging measures, cognitive assessments, and lifestyle factors, enhances disease risk modeling and trajectory prediction beyond the capacity of any single marker. Early findings highlight critical roles for nutritional and lipid metabolism, and myelin integrity in brain aging, with cell and sex\u2010specific vulnerabilities identified in response to nutrition, social isolation, and metabolic stress. Computational approaches that combine single\u2010cell genomics, epigenomics, and artificial intelligence have been shown to accelerate causal discovery and therapeutic development. However, significant challenges remain: current biomarkers explain only half the variance in cognitive decline, racial and ethnic differences in biomarker levels lack mechanistic understanding, and scalable tools for comprehensive brain aging assessment are needed. The symposium underscored that preventing AD will require intervening during the preclinical asymptomatic phase. These multimodal screening platforms, coupled with mechanistically driven therapeutics, reduction in modifiable risk factors, including nutrition, vascular health, and social determinants of health, could profoundly impact the field.<\/jats:p>","DOI":"10.1111\/acel.70351","type":"journal-article","created":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T05:40:34Z","timestamp":1767073234000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Right Person, the Right Treatment, at the Right Time in Alzheimer's Disease: Insights From the 2025 Brain Aging Symposium"],"prefix":"10.1111","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1559-3315","authenticated-orcid":false,"given":"Cecilia G.","family":"de Magalh\u00e3es","sequence":"first","affiliation":[{"name":"Division of Genetics, Department of Medicine Brigham and Women's Hospital, Harvard Medical School  Boston Massachusetts 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USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yakeel T.","family":"Quiroz","sequence":"additional","affiliation":[{"name":"Department of Neurology Massachusetts General Hospital, Harvard Medical School  Boston Massachusetts USA"},{"name":"Department of Psychological and Brain Sciences Boston University  Boston Massachusetts USA"},{"name":"Department of Psychiatry Massachusetts General Hospital, Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ravikiran M.","family":"Raju","sequence":"additional","affiliation":[{"name":"Division of Newborn Medicine Boston Children's Hospital, Harvard Medical School  Boston Massachusetts USA"},{"name":"Picower Institute of Learning and Memory Massachusetts Institute of Technology  Cambridge Massachusetts USA"},{"name":"Biology of Adversity Project Broad Institute of MIT and Harvard  Cambridge Massachusetts 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