AIMC Topic: Influenza A virus

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Evaluating machine learning approaches for host prediction using H3 influenza genomic data.

PloS one
BACKGROUND: H3 influenza A viruses (IAV) have been shown to frequently cross the species barrier which can be an important factor in sustained transmission and spread. Machine learning methods have been widely explored for host prediction of IAV usin...

A Single-step Platinum Nanoparticle-Enhanced Lateral Flow Immunoassay Platform for Rapid Detection of Influenza A Virus.

ACS infectious diseases
Lateral flow immunoassays (LFIAs) are widely used point-of-care (POC) diagnostic tools, but their limited sensitivity can hinder reliable diagnoses. To address this limitation, we developed a novel POC diagnostic platform for the highly sensitive det...

Machine Learning-Assisted 3D SERS Chip with Acoustic Enrichment for High-Accuracy Diagnosis of Respiratory Viruses and Emerging Pathogens.

ACS sensors
Outbreaks of SARS-CoV-2, first investigated as an unknown pathogen, have reflected the severe threat that pathogen X poses to public health and social security. Early and precise diagnosis and classification of infectious respiratory diseases with si...

Examination of unique volatile organic compound signatures in nasopharyngeal test swab viral transport media using an electronic nose.

PloS one
Rapid point of care tests for respiratory infections are associated with high rates of false negative results which can drive empiric, and potentially inappropriate, antibiotic use. Because infectious pathogens alter VOC composition, unique VOC signa...

Flu-CNN: identifying host specificity of Influenza A virus using convolutional networks.

Human genomics
Influenza A viruses (IAVs) have historically posed significant public health threats, causing severe pandemics. Viral host specificity is typically constrained by host barriers, limiting the range of species that can be infected. However, these barri...

A hybrid framework of generative deep learning for antiviral peptide discovery.

Scientific reports
Antiviral peptides (AVPs) hold great potential for combating viral infections, yet their discovery and development remain challenging. In this study, we present a hybrid model combining Wasserstein Generative Adversarial Networks with Gradient Penalt...

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Scientific reports
Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint post-inoculation represents a frequent component of risk assessment activities to assess the capacity of IAV to replicate systemically. However, few stu...

Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment.

BMC genomics
BACKGROUND: Influenza A virus (IAV) is a major global health threat, causing seasonal epidemics and occasional pandemics. Particularly, Influenza A viruses from avian species pose significant zoonotic threats, with PB2 adaptation serving as a critica...

CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to compare CT features of COVID-19 and Influenza A pneumonia, develop a diagnostic differential model, and explore a prognostic model for lesion resolution.

Discovery of TRPV4-Targeting Small Molecules with Anti-Influenza Effects Through Machine Learning and Experimental Validation.

International journal of molecular sciences
Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for maintaining intracellular Ca homeostasis and is essential in regulating immune responses, metabolic processes, and signal transduction. Recent studies...