[HTML][HTML] Alzheimer's disease: epidemiology and clinical progression

AA Tahami Monfared, MJ Byrnes, LA White… - Neurology and …, 2022 - Springer
Alzheimer's disease (AD) is prevalent throughout the world and is the leading cause of
dementia in older individuals (aged≥ 65 years). To gain a deeper understanding of the …

Imaging techniques in Alzheimer's disease: a review of applications in early diagnosis and longitudinal monitoring

WM van Oostveen, ECM de Lange - International journal of molecular …, 2021 - mdpi.com
Background. Alzheimer's disease (AD) is a progressive neurodegenerative disorder
affecting many individuals worldwide with no effective treatment to date. AD is characterized …

Why do so many clinical trials of therapies for Alzheimer's disease fail?

RM Anderson, C Hadjichrysanthou, S Evans… - The Lancet, 2017 - thelancet.com
Alzheimer's disease is an irreversible, progressive brain disorder that accounts for about 50–
75% of all cases of dementia. 1 Alzheimer's disease is characterised by the presence of …

Characterizing demographic, racial, and geographic diversity in dementia research: a systematic review

SS Mooldijk, S Licher, FJ Wolters - JAMA neurology, 2021 - jamanetwork.com
Importance For informed decision making on diagnosis and treatment of dementia,
physicians and their patients rely on the generalizability of evidence from published studies …

A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease

G Martí-Juan, G Sanroma-Guell, G Piella - Computer methods and …, 2020 - Elsevier
Abstract Background and Objectives: Recently, longitudinal studies of Alzheimer's disease
have gathered a substantial amount of neuroimaging data. New methods are needed to …

Ultrahigh Sensitive Detection of Tau Protein as Alzheimer's Biomarker via Microfluidics and Nanofunctionalized Optical Fiber Sensors

F Chiavaioli, D Santano Rivero… - Advanced Photonics …, 2022 - Wiley Online Library
Alzheimer's disease (AD) is one of the most common neurodegenerative illnesses
displaying the highest death rate in the elderly. However, the existing AD diagnostic system …

[HTML][HTML] Meaningful benefits: a framework to assess disease-modifying therapies in preclinical and early Alzheimer's disease

SS Assunção, RA Sperling, C Ritchie… - … research & therapy, 2022 - alzres.biomedcentral.com
The need for preventive therapies that interrupt the progression of Alzheimer's disease (AD)
before the onset of symptoms or when symptoms are emerging is urgent and has spurred …

Mitochondrial dysfunction and increased glycolysis in prodromal and early Parkinson's blood cells

AM Smith, C Depp, BJ Ryan, GI Johnston… - Movement …, 2018 - Wiley Online Library
Background: Although primarily a neurodegenerative process, there is increasing
awareness of peripheral disease mechanisms in Parkinson's disease. To investigate …

[HTML][HTML] Data analysis with Shapley values for automatic subject selection in Alzheimer's disease data sets using interpretable machine learning

L Bloch, CM Friedrich… - Alzheimer's Research & …, 2021 - Springer
Background For the recruitment and monitoring of subjects for therapy studies, it is important
to predict whether mild cognitive impaired (MCI) subjects will prospectively develop …

[HTML][HTML] A long short-term memory biomarker-based prediction framework for Alzheimer's disease

A Aqeel, A Hassan, MA Khan, S Rehman, U Tariq… - Sensors, 2022 - mdpi.com
The early prediction of Alzheimer's disease (AD) can be vital for the endurance of patients
and establishes as an accommodating and facilitative factor for specialists. The proposed …