AIMC Topic: COVID-19
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Review of machine learning for lipid nanoparticle formulation and process development.
Journal of pharmaceutical sciences
Sep 27, 2024
Lipid nanoparticles (LNPs) are a subset of pharmaceutical nanoparticulate formulations designed to encapsulate, stabilize, and deliver nucleic acid cargoes in vivo. Applications for LNPs include new interventions for genetic disorders, novel classes ...
A novel hybrid deep learning IChOA-CNN-LSTM model for modality-enriched and multilingual emotion recognition in social media.
Scientific reports
Sep 27, 2024
In the rapidly evolving field of artificial intelligence, the importance of multimodal sentiment analysis has never been more evident, especially amid the ongoing COVID-19 pandemic. Our research addresses the critical need to understand public sentim...
Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.
Journal of affective disorders
Sep 26, 2024
BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College student, especially freshmen, are particularly susceptible to experiencing intense mental stress reactions during a pandemic. We aimed to identify stable...
Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.
JMIR public health and surveillance
Sep 26, 2024
BACKGROUND: Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-Hispanic Black patients endured worse outcomes disproportionately compared with non-Hispanic White patients, but the epidemiological basis for these obse...
COVID-19 vaccinations and their side effects: a scoping systematic review.
F1000Research
Sep 26, 2024
The COVID-19 virus has impacted people worldwide, causing significant changes in their lifestyles. Since the emergence of the epidemic, attempts have begun to prepare a vaccine that can eliminate the virus and restore balance to life in the entire w...
Large-scale deep learning identifies the antiviral potential of PKI-179 and MTI-31 against coronaviruses.
Antiviral research
Sep 25, 2024
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to the global pandemic of Coronavirus Disease (2019) (COVID-19), underscoring the urgency for effective antiviral drugs. Despite the development of different vaccination strategies,...
Does COVID-19 lockdown matter for air pollution in the short and long run in China? A machine learning approach to policy evaluation.
Journal of environmental management
Sep 24, 2024
This paper leverages a data-driven two-step approach to effectively evaluate the effects of COVID-19 lockdown on air pollution in both the short and long-term in China. Using air pollution, meteorological conditions, and air mass clusters from 34 air...
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.
EBioMedicine
Sep 24, 2024
BACKGROUND: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after their acute COVID-19 ends, even developing new symptoms weeks after infection. These long-term...
A machine-learning model of academic resilience in the times of the COVID-19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study.
The British journal of educational psychology
Sep 22, 2024
BACKGROUND: Given that students from socio-economically disadvantaged family backgrounds are more likely to suffer from low academic performance, there is an interest in identifying features of academic resilience, which may mitigate the relationship...
Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study.
Journal of affective disorders
Sep 19, 2024
BACKGROUND: Youths face significant mental health challenges exacerbated by stressful life events, particularly in the context of the COVID-19 pandemic. Immature coping strategies can worsen mental health outcomes.
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