[HTML][HTML] Aducanumab: appropriate use recommendations

J Cummings, P Aisen, LG Apostolova, A Atri… - The journal of …, 2021 - Elsevier
Aducanumab has been approved by the US Food and Drug Administration for treatment of
Alzheimer's disease (AD). Clinicians require guidance on the appropriate use of this new …

A neuropsychological perspective on defining cognitive impairment in the clinical study of Alzheimer's disease: Towards a more continuous approach

RJ Jutten, L Thompson, SAM Sikkes… - Journal of …, 2022 - journals.sagepub.com
The global fight against Alzheimer's disease (AD) poses unique challenges for the field of
neuropsychology. Along with the increased focus on early detection of AD pathophysiology …

Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach

S Amini, B Hao, L Zhang, M Song, A Gupta… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …

Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

C Xue, C Karjadi, IC Paschalidis, R Au… - Alzheimer's research & …, 2021 - Springer
Background Identification of reliable, affordable, and easy-to-use strategies for detection of
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …

Dementia risks identified by vocal features via telephone conversations: A novel machine learning prediction model

A Shimoda, Y Li, H Hayashi, N Kondo - PloS one, 2021 - journals.plos.org
Due to difficulty in early diagnosis of Alzheimer's disease (AD) related to cost and
differentiated capability, it is necessary to identify low-cost, accessible, and reliable tools for …

Automated classification of cognitive decline and probable Alzheimer's dementia across multiple speech and language domains

R He, K Chapin, J Al-Tamimi, N Bel… - American Journal of …, 2023 - pubs.asha.org
Background: Decline in language has emerged as a new potential biomarker for the early
detection of Alzheimer's disease (AD). It remains unclear how sensitive language measures …

Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models

S Amini, B Hao, J Yang, C Karjadi… - Alzheimer's & …, 2024 - Wiley Online Library
INTRODUCTION Identification of individuals with mild cognitive impairment (MCI) who are at
risk of develo** Alzheimer's disease (AD) is crucial for early intervention and selection of …

Harnessing acoustic speech parameters to decipher amyloid status in individuals with mild cognitive impairment

F García-Gutiérrez, M Marquié, N Muñoz… - Frontiers in …, 2023 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative condition characterized by a gradual
decline in cognitive functions. Currently, there are no effective treatments for AD …

Voice biomarkers as indicators of cognitive changes in middle and later adulthood

E Mahon, ME Lachman - Neurobiology of aging, 2022 - Elsevier
Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear
whether they are associated with normal cognitive aging. We assessed relationships …

Exploring the usability of the virtual reality module LEAF CAFÉ: a qualitative think-aloud study

J Siette, C Campbell, PJ Adam, CB Harris - BMC geriatrics, 2024 - Springer
Background The global healthcare system faces increasing strain from our ageing
population, primarily due to the growing prevalence of age-related health conditions such as …