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http://dx.doi.org/10.1007/s00436-017-5499-6 | DOI Listing |
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 PDFClin Appl Thromb Hemost
January 2025
Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Deep vein thrombosis (DVT) is a leading cause of death disability. DVT can be classified based on the location and extent of the clot into isolated distal DVT (iDDVT), isolated proximal DVT (iPDVT), or mixed DVT. The aim of this study is to explore the baseline characteristics and clinical outcomes of patients with different types of DVT.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, Irvine, Irvine, CA, USA.
Background: In Alzheimer's disease (AD) clinical trials, participants must enroll with a study partner informant who accompanies them to visits and completes validated instruments. Mid-trial informant replacement (IR) has been found to impact academic trial results. We hypothesized that a similar impact would be observed in industry-sponsored trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Weill Cornell Medicine, New York City, NY, USA.
Background: Early detection of Alzheimer's disease (AD) can improve prognosis, given new anti-amyloid therapies. Both positron emission tomography (PET) and magnetic resonance (MR) imaging biomarkers are currently used (1). 48F-Fluorodeoxyglucose-PET (FDG-PET) can detect neurodegeneration-related hypometabolism but is costly and not easily accessible (2).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Background: To enhance the well-being of individuals with dementia, it is crucial to minimize the risk of deterioration in long-term care needs. This study aimed to identify factors and construct predictive models for deterioration in long-term care (LTC) levels in Japanese older adults with Mild Cognitive Impairment (MCI) and dementia.
Method: This retrospective cohort study utilized the data from a memory clinic-based cohort study (NCGG-STORIES) and individual LTC insurance data provided by three municipalities.
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