Machine learning for comprehensive forecasting of Alzheimer's Disease progression
Most approaches to machine learning from electronic health data can only predict a single
endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial …
endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial …
A phase 2 randomized trial of ELND005, scyllo-inositol, in mild to moderate Alzheimer disease
S Salloway, R Sperling, R Keren, AP Porsteinsson… - Neurology, 2011 - AAN Enterprises
Objective: This randomized, double-blind, placebo-controlled, dose-ranging phase 2 study
explored safety, efficacy, and biomarker effects of ELND005 (an oral amyloid anti …
explored safety, efficacy, and biomarker effects of ELND005 (an oral amyloid anti …
The effect of hormone replacement therapy on cognitive function in female patients with Alzheimer's disease: a meta-analysis
CC Zhou, Q Wu, Z Wang, Q Wang… - American Journal of …, 2020 - journals.sagepub.com
Previous studies have indicated that estrogen may delay disease progression and minimize
the cognitive decline in patients with Alzheimer's disease (AD). However, the evidence for …
the cognitive decline in patients with Alzheimer's disease (AD). However, the evidence for …
Cognitive Stimulation Therapy (CST): effects on different areas of cognitive function for people with dementia
A Spector, M Orrell, B Woods - International journal of geriatric …, 2010 - Wiley Online Library
Background There is good evidence indicating that group Cognitive Stimulation Therapy
(CST) leads to generalised cognitive benefits for people with dementia. However, little is …
(CST) leads to generalised cognitive benefits for people with dementia. However, little is …
The Alzheimer's disease assessment scale-cognitive-plus (ADAS-Cog-Plus): an expansion of the ADAS-Cog to improve responsiveness in MCI
Abstract Background The Alzheimer's Disease Assessment Scale cognitive subscale (ADAS-
Cog) is widely used in AD, but may be less responsive to change when used in people with …
Cog) is widely used in AD, but may be less responsive to change when used in people with …
[HTML][HTML] Development of a three tiered cognitive hybrid machine learning algorithm for effective diagnosis of Alzheimer's disease
Alzheimer's disease (AD) is one of the most frequent neurodegenerative disorders in the
elderly subjects. Since early detection can prevent or delay cognitive decline in the older …
elderly subjects. Since early detection can prevent or delay cognitive decline in the older …
D-glutamate, D-serine, and D-alanine differ in their roles in cognitive decline in patients with Alzheimer's disease or mild cognitive impairment
Abstracts Background D-amino acids have been recognized as bioactive substances in
humans. d-Serine and D-alanine are co-agonists of N-methyl-d-aspartate receptors …
humans. d-Serine and D-alanine are co-agonists of N-methyl-d-aspartate receptors …
Rationale for use of the Clinical Dementia Rating Sum of Boxes as a primary outcome measure for Alzheimer's disease clinical trials
JM Cedarbaum, M Jaros, C Hernandez, N Coley… - Alzheimer's & …, 2013 - Elsevier
BACKGROUND: We used the database of the Alzheimer's Disease Neuroimaging Initiative
(ADNI) to explore the psychometric properties of the Clinical Dementia Rating Sum of Boxes …
(ADNI) to explore the psychometric properties of the Clinical Dementia Rating Sum of Boxes …
Developing predictive CSF biomarkers—a challenge critical to success in Alzheimer's disease and neuropsychiatric translational medicine
DG Flood, GJ Marek, M Williams - Biochemical pharmacology, 2011 - Elsevier
The need to develop effective treatments for Alzheimer's disease has been confounded by
repeated clinical failures where promising new chemical entities that have been extensively …
repeated clinical failures where promising new chemical entities that have been extensively …
Anosognosia predicts default mode network hypometabolism and clinical progression to dementia
Objective To identify the pathophysiologic mechanisms and clinical significance of
anosognosia for cognitive decline in mild cognitive impairment. Methods We stratified 468 …
anosognosia for cognitive decline in mild cognitive impairment. Methods We stratified 468 …