AIMC Topic: COVID-19
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Practicing pharmacist education based on the experiences of medical support on the cruise ship Diamond Princess.
BMC medical education
May 16, 2025
BACKGROUND: Passengers on the cruise ship Diamond Princess (DP), which departed Yokohama on 20 January 2020, were found to be infected with the new coronavirus after arrival in Hong Kong. Passengers and crew were not allowed to disembark, instead bei...
Celluloepidemiology-A paradigm for quantifying infectious disease dynamics on a population level.
Science advances
May 16, 2025
To complement serology as a tool in public health interventions, we introduced the "celluloepidemiology" paradigm where we leveraged pathogen-specific T cell responses at a population level to advance our epidemiological understanding of infectious d...
Surveillance of SARS-CoV-2 RNA in wastewater treatment plants in Türkiye, Istanbul: a long-term study and statistical analysis.
Environmental monitoring and assessment
May 12, 2025
Wastewater-based epidemiology (WBE) is a powerful method that allows community surveillance to identify diseases/pandemic dynamics in a city, especially in metropolitan areas with high overpopulation. This study investigated the detection and quantif...
Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.
JMIR infodemiology
May 7, 2025
As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influence of artificial intelligence in the information ecosystem. During periods of apparent stability, p...
Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2.
The Science of the total environment
May 6, 2025
Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patterns of SARS-CoV-2 in communities. Several factors may lead to a day-to-day variation in the measurement of viral genetic material. Wastewater samples...
MedFILIP: Medical Fine-Grained Language-Image Pre-Training.
IEEE journal of biomedical and health informatics
May 6, 2025
Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data is crucial for medical image analysis. However, existing methods struggle to accurately characterize associations between images and diseases, leading...
AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains.
Scientific reports
May 3, 2025
In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata with multiple data types and processing strategies, including machine learning, natural language processing, protein structural modeling, and protein s...
Neural networks to model COVID-19 dynamics and allocate healthcare resources.
Scientific reports
May 2, 2025
This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves high prediction accuracy by integrating epidemiological, mobility, vaccination, and environmental data ...
Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation.
IEEE transactions on medical imaging
May 2, 2025
Recently, the advent of Vision Transformer (ViT) has brought substantial advancements in 3D benchmarks, particularly in 3D volumetric medical image segmentation (Vol-MedSeg). Concurrently, multi-layer perceptron (MLP) network has regained popularity ...
Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research.
F1000Research
May 1, 2025
BACKGROUND: This study intends to investigate the relationship between artificial intelligence and teachers' collaboration in educational research in response to the growing use of technologies and the current status of the field.
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