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http://dx.doi.org/10.1093/ejcts/ezab283 | DOI Listing |
Background: While a number of recent anti-amyloid antibodies demonstrated a robust reduction of amyloid biomarkers in clinical trials, the impact on functional improvement is much more variable. We hypothesize that this larger variability is driven by comedications, common genotype variants and underlying tau pathology.
Method: In a previously calibrated computational neuroscience model of ADAS-Cog, we implemented the effect of soluble amyloid monomers and oligomers on glutamate and nicotinic AChR neurotransmission and the effect of intracellular tau oligomers on voltage-gated Na and K+ channels and synaptic density.
Background: Pivotal Alzheimer's Disease (AD) trials typically require thousands of participants, resulting in long enrollment timelines and substantial costs. We leverage deep learning predictive models to create prognostic scores (forecasted control outcome) of trial participants and in combination with a linear statistical model to increase statistical power in randomized clinical trials (RCT). This is a straightforward extension of the traditional RCT analysis, allowing for ease of use in any clinical program.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
Background: Randomized placebo-controlled trials (RCTs) are the gold standard to evaluate efficacy of new drug treatments for Alzheimer's disease. For example, the United States FDA approved the brain amyloid-targeting drug lecanemab following CLARITY AD, Biogen and Eisai's Phase 3 RCT. However, recruiting enough participants for a high-powered and demographically representative trial is difficult and expensive.
View Article and Find Full Text PDFBackground: Dementia, a growing health crisis, disproportionally affects persons from racial/ethnic backgrounds and individuals with comorbidities. Latelife change in cognition is complex and nonlinear, as well as differential for these individuals. These individuals are also largely underrepresented in clinical trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Moravian University, PA, PA, USA.
Background: Given the widespread of tele-assessment and tele-rehabilitation in speech language pathology and clinical neuropsychology for monolingual English-speaking patients with acquired neurogenic language and cognitive disorders, there is an urgent need to implement a culturally and linguistically tailored telepractice for multilingual people living with dementia (MPLWD), for whom there is no consensus on a standard model. This study aims to investigate the delivery model of remote assessment and intervention for this population.
Method: A systematic scoping review was conducted in December 2023 following frameworks described by Arksey and O'Malley (2007).
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