[HTML][HTML] Predicting positron emission tomography brain amyloid positivity using interpretable machine learning models with wearable sensor data and lifestyle factors

N Kimura, T Aota, Y Aso, K Yabuuchi, K Sasaki… - Alzheimer's Research & …, 2023 - Springer
Background Developing a screening method for identifying individuals at higher risk of
elevated brain amyloid burden is important to reduce costs and burden to patients in clinical …

Predicting driving cessation among cognitively normal older drivers: the role of Alzheimer disease biomarkers and clinical assessments

GM Babulal, L Chen, SA Murphy, DB Carr, JC Morris - Neurology, 2024 - AAN Enterprises
Background and Objectives With the aging US population and increasing incidence of
Alzheimer disease (AD), understanding factors contributing to driving cessation among older …

Driving status and transportation disadvantage among Medicare beneficiaries

M Ryvicker, E Bollens-Lund… - Journal of applied …, 2020 - journals.sagepub.com
Transportation disadvantage may have important implications for the health, well-being, and
quality of life of older adults. This study used the 2015 National Health Aging Trends Study …

Driving Ability Evaluation and Rehabilitation for People With Alzheimer's Disease and Related Dementias

Z Liu, J Grant, SP Simpson, A Khattak… - Alzheimer Disease & …, 2022 - journals.lww.com
Worldwide, it is estimated that around 50 million older adults have Alzheimer's disease and
related dementias (ADRD). Cognitive deficits associated with ADRD may affect a driver's …

Biomarcadores no líquido cefalorraquidiano no desenvolvimento da Doença de Alzheimer: uma revisão sistemática

A Billmann, MF Pezzini, J Poeta - Revista psicologia e …, 2020 - pssaucdb.emnuvens.com.br
Objetivou-se identificar os artigos que analisam os biomarcadores tau total (T-tau), tau
fosforilada (P-tau) e beta-amiloide (Aβ) no líquido cefalorraquidiano (LCR) para o …

Everyday driving and plasma biomarkers in Alzheimer's disease: Leveraging artificial intelligence to expand our diagnostic toolkit

S Bayat, CM Roe, S Schindler… - Journal of …, 2023 - content.iospress.com
Background: Driving behavior as a digital marker and recent developments in blood-based
biomarkers show promise as a widespread solution for the early identification of Alzheimer's …

Depression and Alzheimer's disease biomarkers predict driving decline

GM Babulal, S Chen, MM Williams… - Journal of …, 2018 - content.iospress.com
Background: Symptomatic Alzheimer's disease (AD) and depression independently
increase crash risk. Additionally, depression is both a risk factor for and a consequence of …

The utility of the Montreal Cognitive Assessment in predicting need for fitness to drive evaluations in older adults

D Kandasamy, K Williamson, DB Carr, D Abbott… - Journal of Transport & …, 2019 - Elsevier
Objectives With age, older adults (≥ 65 years) become increasingly vulnerable to cognitive
disorders that may impair driving ability. Health practitioners are often tasked with screening …

[HTML][HTML] 15 Years of Longitudinal Genetic, Clinical, Cognitive, Imaging, and Biochemical Measures in DIAN

AJ Daniels, E McDade, JJ Llibre-Guerra, C Xiong… - medRxiv, 2024 - ncbi.nlm.nih.gov
This manuscript describes and summarizes the Dominantly Inherited Alzheimer Network
Observational Study (DIAN Obs), highlighting the wealth of longitudinal data, samples, and …

[PDF][PDF] 竿Author manuscript

GM Babulalºº, S Chen, MM Williams, JF Trani… - guidestareldercare.com
Abstract Background-Symptomatic Alzheimer's disease (AD) and depression independently
increase crash risk. Additionally, depression is both a risk factor for and a consequence of …