Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …

The United States has long made substantial investments in clinical research with the goal
of improving the health and well-being of our nation. There is no doubt that these …

Geroscience offers a counterpoint to the challenged pursuit of curing diseases of aging, by
focusing on slowing the biological aging process for extended healthspan earlier in life …

Background Dementia and frailty often accompany one another in older age, requiring
complex care and resources. Available projections provide little information on their joint …

Background Using billing data generated through health care delivery to identify individuals
with dementia has become important in research. To inform tradeoffs between approaches …

Neurodegenerative diseases represent a formidable challenge to global health. As
advances in other areas of medicine grant healthy living into later decades of life, aging …

Introduction There is insufficient understanding of diagnosis of etiologic dementia subtypes
and contact with specialized dementia care among older Americans. Methods We quantified …

Introduction Medicare claims data may be a rich data source for tracking population
dementia rates. Insufficient understanding of completeness of diagnosis, and for whom …

Frontotemporal dementia (FTD) and Alzheimer's disease (AD) have overlapping symptoms,
and accurate differential diagnosis is important for targeted intervention and treatment …

Objectives This study provides the first comparison of trends in dementia prevalence in the
US population using 3 different dementia ascertainments/data sources: neuropsychological …