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 …

Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum

F García-Gutiérrez, M Alegret, M Marquié… - Alzheimer's Research & …, 2024 - Springer
Background Advancement in screening tools accessible to the general population for the
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …

Spoken Language Alterations can Predict Phenoconversion in Isolated Rapid Eye Movement Sleep Behavior Disorder: A Multicenter Study

M Šubert, M Novotný, T Tykalová… - Annals of …, 2024 - Wiley Online Library
Objective This study assessed the relationship between speech and language impairment
and outcome in a multicenter cohort of isolated/idiopathic rapid eye movement (REM) sleep …

[HTML][HTML] Consensus on rapid screening for prodromal Alzheimer's disease in China

L Huang, Q Li, Y Lu, F Pan, L Cui, Y Wang… - General …, 2024 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) is a common cause of dementia, characterised by cerebral
amyloid-β deposition, pathological tau and neurodegeneration. The prodromal stage of AD …

New Horizons: Pioneering Pharmaceutical R&D with Generative AI from lab to the clinic--an industry perspective

G Doron, S Genway, M Roberts, S Jasti - arXiv preprint arXiv:2312.12482, 2023 - arxiv.org
The rapid advance of generative AI is reshaping the strategic vision for R&D across
industries. The unique challenges of pharmaceutical R&D will see applications of generative …

Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies

C Harris, Y Tang, E Birnbaum, C Cherian… - Archives of Clinical …, 2024 - academic.oup.com
Compared with other health disciplines, there is a stagnation in technological innovation in
the field of clinical neuropsychology. Traditional paper-and-pencil tests have a number of …

The development and validation of a digital biomarker for remote assessment of Alzheimer's diseases risk

J Butler, TJ Watermeyer, E Matterson… - Digital …, 2024 - journals.sagepub.com
Background Digital cognitive assessment is becoming increasingly widespread in ageing
research and care, especially since the COVID-19 pandemic. Remote online collection …

[HTML][HTML] Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

T Watase, Y Omiya, S Tokuno - JMIR Biomedical …, 2023 - biomedeng.jmir.org
Background: In Japan, individuals with mild COVID-19 illness previously required to be
monitored in designated areas and were hospitalized only if their condition worsened to …

Detecting Speech Abnormalities With a Perceiver-Based Sequence Classifier that Leverages a Universal Speech Model

H Soltau, I Shafran, A Ottenwess… - 2023 IEEE Automatic …, 2023 - ieeexplore.ieee.org
We propose a Perceiver-based sequence classifier to detect abnormalities in speech
reflective of several neurological disorders. We combine this classifier with a Universal …

Early ultrasonic vocalization deficits and related thyroarytenoid muscle pathology in the transgenic TgF344-AD rat model of Alzheimer's disease

DM Rudisch, MN Krasko, DGS Barnett… - Frontiers in Behavioral …, 2024 - frontiersin.org
Background Alzheimer's disease (AD) is a progressive neurologic disease and the most
common cause of dementia. Classic pathology in AD is characterized by inflammation …