Background: Health care planning and research would benefit from tools that enable researchers to project the future burden of Alzheimer's disease (AD) and evaluate the effect of potential interventions.
Methods: We created a web-based application of the AD prevalence model developed by Brookmeyer et al (Am J Public Health 1998;88:1337-42; Alzheimers Dement 2007;3:186-91). The user defines the disease parameters and any interventions that may either reduce risk or slow disease progression. We expanded the parameters to include the cost and weights for disability-adjusted life years.
Application: The secure, web-based application generates detailed AD projections for each calendar year to 2050, and allows users to create personal accounts for them to save, retrieve, and modify the input parameters. The flexibility of the application is illustrated with a forecast for the state of Maryland, USA.
Conclusions: The application generates AD burden projections, costs, and disability-adjusted life years, along with changes associated with potential interventions.
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http://dx.doi.org/10.1016/j.jalz.2010.01.014 | DOI Listing |
J Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
Cancers (Basel)
January 2025
Department of Medical Oncology, Faculty of Medicine, İstinye University, İstanbul 34010, Turkey.
Background: Although higher-generation TKIs are associated with improved progression-free survival in advanced NSCLC patients with EGFR mutations, the optimal selection of TKI treatment remains uncertain. To address this gap, we developed a web application powered by a reinforcement learning (RL) algorithm to assist in guiding initial TKI treatment decisions.
Methods: Clinical and mutational data from advanced NSCLC patients were retrospectively collected from 14 medical centers.
J Cheminform
January 2025
Research Programme On Biomedical Informatics (GRIB), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Hospital del Mar Medical Research Institute, Barcelona, Spain.
This article introduces StreamChol, a software for developing and applying mechanistic models to predict cholestasis. StreamChol is a Streamlit application, usable as a desktop application or web-accessible software when installed on a server using a docker container.StreamChol allows a seamless integration of pharmacokinetic analyses with Machine Learning models.
View Article and Find Full Text PDFSci Rep
January 2025
Nursing College, Jinzhou Medical University, Jinzhou, China.
Alexithymia, characterized by difficulty in expressing and recognizing emotions, is prevalent among young and middle-aged stroke survivors and can significantly impact rehabilitation outcomes. This study aims to develop and validate a dynamic nomogram to predict the risk of alexithymia in this population. This cross-sectional study was conducted from November 2022 to August 2023 at two tertiary hospitals in Jinzhou City and Cangzhou City, enrolling 319 patients.
View Article and Find Full Text PDFBMC Med Genomics
January 2025
Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, SE-751 85, Sweden.
Background: Noninvasive prenatal testing (NIPT) is increasingly used to screen for fetal chromosomal aneuploidy by analyzing cell-free DNA (cfDNA) in peripheral maternal blood. The method provides an opportunity for early detection of large genetic abnormalities without an increased risk of miscarriage due to invasive procedures. Commercial applications for use at clinical laboratories often take advantage of DNA sequencing technologies and include the bioinformatic workup of the sequence data.
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