AIMC Topic: Pandemics
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Vaccine development using artificial intelligence and machine learning: A review.
International journal of biological macromolecules
Oct 18, 2024
The COVID-19 pandemic has underscored the critical importance of effective vaccines, yet their development is a challenging and demanding process. It requires identifying antigens that elicit protective immunity, selecting adjuvants that enhance immu...
Neural parameter calibration and uncertainty quantification for epidemic forecasting.
PloS one
Oct 17, 2024
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction...
A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study.
Molecular diversity
Oct 9, 2024
The SARS-CoV-2 outbreak highlights the persistent vulnerability of humanity to epidemics and emerging microbial threats, emphasizing the lack of time to develop disease-specific treatments. Therefore, it appears beneficial to utilize existing resourc...
Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens.
PloS one
Oct 9, 2024
The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) algorithms to support diagnostic and treatment decisions. This rise has led to the development of Explainable AI (XAI) system to improve the transpare...
COVID-19 from symptoms to prediction: A statistical and machine learning approach.
Computers in biology and medicine
Sep 28, 2024
During the COVID-19 pandemic, the analysis of patient data has become a cornerstone for developing effective public health strategies. This study leverages a dataset comprising over 10,000 anonymized patient records from various leading medical insti...
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...
What explains adolescents' physical activity and sports participation during the COVID-19 pandemic? - an interpretable machine learning approach.
Journal of sports sciences
Sep 19, 2024
Adolescents' physical activity (PA) and sports participation declined due to the COVID-19 pandemic. This study aimed to determine the critical socio-ecological factors for PA and sports participation using a machine learning approach. We did a cross-...
Long-term trend prediction of pandemic combining the compartmental and deep learning models.
Scientific reports
Sep 9, 2024
Predicting the spread trends of a pandemic is crucial, but long-term prediction remains challenging due to complex relationships among disease spread stages and preventive policies. To address this issue, we propose a novel approach that utilizes dat...
Innovation in public health surveillance for social distancing during the COVID-19 pandemic: A deep learning and object detection based novel approach.
PloS one
Sep 9, 2024
The Corona Virus Disease (COVID-19) has a huge impact on all of humanity, and people's disregard for COVID-19 regulations has sped up the disease's spread. Our study uses a state-of-the-art object detection model like YOLOv4 (You Only Look Once, vers...
Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online.
Nature communications
Aug 29, 2024
Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspira...
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