[HTML][HTML] Speech and language processing with deep learning for dementia diagnosis: A systematic review

M Shi, G Cheung, SR Shahamiri - Psychiatry Research, 2023 - Elsevier
Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …

Neuroprotective effects of gemfibrozil in neurological disorders: Focus on inflammation and molecular mechanisms

MS Ivraghi, MY Zamanian, R Gupta… - CNS Neuroscience …, 2024 - Wiley Online Library
Abstract Background Gemfibrozil (Gem) is a drug that has been shown to activate PPAR‐α,
a nuclear receptor that plays a key role in regulating lipid metabolism. Gem is used to lower …

Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition

S Rezayi, H Dai, Z Liu, Z Wu, A Hebbar… - … Workshop on Machine …, 2022 - Springer
Transformer based language models such as BERT have been widely applied to many
domains through model pretraining and fine tuning. However, in low-resource scenarios …

Diagnosis and detection of Alzheimer's disease using learning algorithm

GP Shukla, S Kumar, SK Pandey… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …

Automated detection of progressive speech changes in early Alzheimer's disease

J Robin, M Xu, A Balagopalan… - Alzheimer's & …, 2023 - Wiley Online Library
Speech and language changes occur in Alzheimer's disease (AD), but few studies have
characterized their longitudinal course. We analyzed open‐ended speech samples from a …

[HTML][HTML] Disparities and resilience: analyzing online Health information provision, behaviors and needs of LBGTQ+ elders during COVID-19

H Yu, L Fan, AJ Gilliland - BMC Public Health, 2022 - Springer
Background Prior studies indicate that older members of LGBTQ+ communities have specific
health provision and health information needs related to coping with COVID-19, its long-term …

Test-retest reliability of acoustic and linguistic measures of speech tasks

F Feng, Z Zhang, L Tang, H Qian, LZ Yang… - Computer Speech & …, 2023 - Elsevier
Recent studies suggest that automatic speech analysis is promising for diagnosing
movement and cognitive disorders. However, the reliability of acoustic and linguistic …

Optimizing and Evaluating Pre-Trained Large Language Models for Alzheimer's Disease Detection

F Casu, E Grosso, A Lagorio… - 2024 32nd Euromicro …, 2024 - ieeexplore.ieee.org
This research focuses on developing improved diagnostic tools for Alzheimer's Disease
(AD), a condition impacting approximately 50 million individuals globally. In the paper, we …

Deploying a human robot interaction model for dementia care in federated learning

X Su, F Yuan, R Zhang, J Liu, M Boltz… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Data privacy is the main concern when using machine learning methods to solve dementia
care problems. This paper makes the first attempt to deploy a human robot interaction model …

[HTML][HTML] A Perspective: Challenges in Dementia Research

M Stecker - Medicina, 2022 - mdpi.com
Although dementia is a common and devastating disease that has been studied intensely for
more than 100 years, no effective disease modifying treatment has been found. At this …