AIMC Topic: COVID-19 Vaccines
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Identifying psychological predictors of SARS-CoV-2 vaccination: A machine learning study.
Vaccine
Aug 5, 2024
BACKGROUND: Major barriers to addressing SARS-CoV-2 vaccine hesitancy include limited knowledge of what causes delay/refusal of SARS-CoV-2 vaccination and limited ability to predict who will remain unvaccinated over significant time periods despite v...
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery.
Nature communications
Jul 26, 2024
Ionizable lipid nanoparticles (LNPs) are seeing widespread use in mRNA delivery, notably in SARS-CoV-2 mRNA vaccines. However, the expansion of mRNA therapies beyond COVID-19 is impeded by the absence of LNPs tailored for diverse cell types. In this ...
Country-specific determinants for COVID-19 case fatality rate and response strategies from a global perspective: an interpretable machine learning framework.
Population health metrics
Jun 3, 2024
BACKGROUND: There are significant geographic inequities in COVID-19 case fatality rates (CFRs), and comprehensive understanding its country-level determinants in a global perspective is necessary. This study aims to quantify the country-specific risk...
Modeling mortality prediction in older adults with dementia receiving COVID-19 vaccination.
BMC geriatrics
May 24, 2024
OBJECTIVE: This study compared COVID-19 outcomes between vaccinated and unvaccinated older adults with and without cognitive impairment.
A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability.
Acta tropica
May 19, 2024
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biological factors. Similarly, the effects of vaccination on people's immunity vary across several factors. After the pandemic, real-life post-vaccination anom...
A prospective cohort-based artificial intelligence evaluation system for the protective efficacy and immune response of SARS-CoV-2 inactivated vaccines.
International immunopharmacology
May 10, 2024
BACKGROUND: Novel coronaviruses constitute a significant health threat, prompting the adoption of vaccination as the primary preventive measure. However, current evaluations of immune response and vaccine efficacy are deemed inadequate.
Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV: a machine learning approach.
Journal of translational medicine
May 7, 2024
BACKGROUND: SARS-CoV-2 mRNA vaccines are highly immunogenic in people living with HIV (PLWH) on effective antiretroviral therapy (ART). However, whether viro-immunologic parameters or other factors affect immune responses to vaccination is debated. T...
Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning.
PloS one
Apr 25, 2024
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilitate the identification of patients at highest risk of adverse outcomes is a priority. The study objectives are to develop population-scale predictive ...
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations.
F1000Research
Apr 16, 2024
BACKGROUND: Sentiments and opinions regarding COVID-19 and the COVID-19 vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, and thus were aimed at our study. We also analyzed fake news and facts, and Twitter e...
Identification of B cell subsets based on antigen receptor sequences using deep learning.
Frontiers in immunology
Mar 21, 2024
B cell receptors (BCRs) denote antigen specificity, while corresponding cell subsets indicate B cell functionality. Since each B cell uniquely encodes this combination, physical isolation and subsequent processing of individual B cells become indispe...
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