AIMC Topic: Viruses
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A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy.
Scientific data
May 28, 2025
Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by immunohistochemistry or genetic engineering. While classification-based machine learning approaches to the detection of virus-infected cells have been ...
ASVirus: A Comprehensive Knowledgebase for the Viral Alternative Splicing.
Journal of chemical information and modeling
Mar 10, 2025
Viruses are significant human pathogens responsible for pandemic outbreaks and seasonal epidemics. Viral infectious diseases impose a devastating global burden and have a profound impact on public health systems. During viral infections, alternative ...
Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.
ACS sensors
Jan 28, 2025
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced...
An FPGA-Based SiNW-FET Biosensing System for Real-Time Viral Detection: Hardware Amplification and 1D CNN for Adaptive Noise Reduction.
Sensors (Basel, Switzerland)
Jan 3, 2025
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular detection, yet traditional approaches often rely on bulky, costly impedance analyzers, limiting their portability and usability in point-of-care applica...
Fluorescence excitation-emission matrix spectroscopy combined with machine learning for the classification of viruses for respiratory infections.
Talanta
Dec 27, 2024
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing between various harmful viruses through simple analysis. In this study, we utilized fluorescence excitation-emission matrix (EEM) spectroscopy as a ra...
Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images.
Scientific reports
Nov 22, 2024
Viruses are submicroscopic agents that can infect other lifeforms and use their hosts' cells to replicate themselves. Despite having simplistic genetic structures among all living beings, viruses are highly adaptable, resilient, and capable of causin...
Virus-host interactions predictor (VHIP): Machine learning approach to resolve microbial virus-host interaction networks.
PLoS computational biology
Sep 18, 2024
Viruses of microbes are ubiquitous biological entities that reprogram their hosts' metabolisms during infection in order to produce viral progeny, impacting the ecology and evolution of microbiomes with broad implications for human and environmental ...
Editorial: Exploring genetic characteristics and molecular mechanisms of host adaptation of viruses with artificial intelligence (AI) or (and) biological (BIO) approaches.
Frontiers in cellular and infection microbiology
Aug 26, 2024
Significance of Artificial Intelligence in the Study of Virus-Host Cell Interactions.
Biomolecules
Jul 26, 2024
A highly critical event in a virus's life cycle is successfully entering a given host. This process begins when a viral glycoprotein interacts with a target cell receptor, which provides the molecular basis for target virus-host cell interactions for...
Sensitivity Evaluation of Enveloped and Non-enveloped Viruses to Ethanol Using Machine Learning: A Systematic Review.
Food and environmental virology
Dec 5, 2023
Viral diseases are a severe public health issue worldwide. During the coronavirus pandemic, the use of alcohol-based sanitizers was recommended by WHO. Enveloped viruses are sensitive to ethanol, whereas non-enveloped viruses are considerably less se...
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