AIMC Topic: COVID-19

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Generative artificial intelligence performs rudimentary structural biology modeling.

Scientific reports Aug 21, 2024
Natural language-based generative artificial intelligence (AI) has become increasingly prevalent in scientific research. Intriguingly, capabilities of generative pre-trained transformer (GPT) language models beyond the scope of natural language tasks...
Protein Conformation Coronavirus 3C Proteases COVID-19 Humans Models, Molecular Artificial Intelligence Amino Acids SARS-CoV-2
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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

Journal of imaging informatics in medicine Aug 20, 2024
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1...
SARS-CoV-2 Male Middle Aged Lung Diseases Radiography, Thoracic Severity of Illness Index Bayes Theorem Neural Networks, Computer COVID-19 Female Humans Monte Carlo Method
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Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants.

Scientific reports Aug 19, 2024
Predicting epidemic evolution is essential for making informed decisions and guiding the implementation of necessary countermeasures. Computational models are vital tools that provide insights into illness progression and enable early detection, proa...
Pandemics SARS-CoV-2 COVID-19 United States Humans Forecasting Europe Machine Learning
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COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset.

Journal of virological methods Aug 16, 2024
The urgent need for efficient and accurate automated screening tools for COVID-19 detection has led to research efforts exploring various approaches. In this study, we present pioneering research on COVID-19 detection using a hybrid model that combin...
COVID-19 Fiber Optic Technology Algorithms Deep Learning COVID-19 Serological Testing ROC Curve Immunoglobulin G Humans Neural Networks, Computer Antibodies, Viral SARS-CoV-2 Sensitivity and Specificity
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Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

Scientific reports Aug 14, 2024
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic ...
Bayes Theorem Survivors Stress Disorders, Post-Traumatic Support Vector Machine Social Media Humans SARS-CoV-2 Mental Health Machine Learning COVID-19
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Revolutionizing adjuvant development: harnessing AI for next-generation cancer vaccines.

Frontiers in immunology Aug 14, 2024
With the COVID-19 pandemic, the importance of vaccines has been widely recognized and has led to increased research and development efforts. Vaccines also play a crucial role in cancer treatment by activating the immune system to target and destroy c...
Cancer Vaccines Humans SARS-CoV-2 Vaccine Development Adjuvants, Immunologic Artificial Intelligence Drug Development Animals COVID-19 Neoplasms
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Dual-branch Transformer for semi-supervised medical image segmentation.

Journal of applied clinical medical physics Aug 12, 2024
PURPOSE: In recent years, the use of deep learning for medical image segmentation has become a popular trend, but its development also faces some challenges. Firstly, due to the specialized nature of medical data, precise annotation is time-consuming...
Humans Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer COVID-19 Algorithms Supervised Machine Learning
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Comparative analysis of feature selection techniques for COVID-19 dataset.

Scientific reports Aug 11, 2024
In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Feature selection (FS) algorithms play a crucial role in ensuring the accuracy of predictive models by identifying the most influential variables. This stud...
Female COVID-19 SARS-CoV-2 Humans Algorithms Aged Middle Aged Machine Learning Adult Retrospective Studies Iran Male
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Admission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset.

BMC infectious diseases Aug 9, 2024
BACKGROUND: Predicting an individual's risk of death from COVID-19 is essential for planning and optimising resources. However, since the real-world mortality rate is relatively low, particularly in places like Hong Kong, this makes building an accur...
COVID-19 Female SARS-CoV-2 Aged Humans Neural Networks, Computer Machine Learning Cohort Studies Hong Kong Proportional Hazards Models Hematologic Tests Adult Male Middle Aged
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CMM: A CNN-MLP Model for COVID-19 Lesion Segmentation and Severity Grading.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity grading in CT images. The CMM starts by lung segmentation using UNet, and then segmenting the lesion from the lung region using a multi-scale deep supervis...
Lung Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Algorithms Humans Deep Learning Neural Networks, Computer Tomography, X-Ray Computed COVID-19 SARS-CoV-2
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