AIMC Topic: Influenza A virus
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High-Precision Viral Detection Using Electrochemical Kinetic Profiling of Aptamer-Antigen Recognition in Clinical Samples and Machine Learning.
Angewandte Chemie (International ed. in English)
Apr 9, 2024
High-precision viral detection at point of need with clinical samples plays a pivotal role in the diagnosis of infectious diseases and the control of a global pandemic. However, the complexity of clinical samples that often contain very low viral con...
Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus.
Biosensors
Dec 29, 2023
Surface-enhanced Raman spectroscopy (SERS)-based aptasensors for virus determination have attracted a lot of interest recently. This approach provides both specificity due to an aptamer component and a low limit of detection due to signal enhancement...
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization.
Journal of chemical information and modeling
Sep 9, 2020
Artificial intelligence and multiobjective optimization represent promising solutions to bridge chemical and biological landscapes by addressing the automated design of compounds as a result of a humanlike creative process. In the present study, we ...
Neuraminidase
Acetylcholinesterase
Cholinesterase Inhibitors
Enzyme Inhibitors
Drug Design
Influenza A virus
Antiviral Agents
Coronavirus Infections
Pneumonia, Viral
Coronavirus 3C Proteases
Viral Nonstructural Proteins
Small Molecule Libraries
Cysteine Endopeptidases
Betacoronavirus
Humans
Neural Networks, Computer
Artificial Intelligence
Pandemics
COVID-19
SARS-CoV-2
Molecular Docking Simulation
Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.
Mathematical biosciences
Jun 17, 2019
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous threat to human health worldwide. It leads to high mortality rates in poultry, pigs, and humans. The primary target identity regions for the human immune...
Identifying genetic determinants of complex phenotypes from whole genome sequence data.
BMC genomics
Jun 10, 2019
BACKGROUND: A critical goal in biology is to relate the phenotype to the genotype, that is, to find the genetic determinants of various traits. However, while simple monofactorial determinants are relatively easy to identify, the underpinnings of com...
Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.
International journal of molecular sciences
May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Disease Outbreaks
Viral Tropism
Influenza in Birds
Host Specificity
Birds
Influenza A virus
Host-Pathogen Interactions
Machine Learning
Models, Theoretical
Viral Proteins
Retrospective Studies
Humans
Databases, Genetic
Orthomyxoviridae Infections
Reproducibility of Results
Area Under Curve
Zoonoses
Animals
Influenza, Human
Persistence of influenza on surfaces.
The Journal of hospital infection
Dec 13, 2016
BACKGROUND: Close contact transmission (either direct or large droplet/droplet nuclei) is considered the main driver of influenza outbreaks but there is limited information regarding the role of fomites in transmission.
Single-shot, receptor-free, rapid detection and classification of five respiratory viruses by machine learning integrated SERS sensing platform.
Biosensors & bioelectronics
Jul 1, 2025
A machine learning integrated SERS sensing platform is developed for a single-shot, receptor-free, rapid detection and classification of five respiratory viruses including Influenza A, Respiratory Syncytial Virus (RSV), Human Rhinoviruses (Rhino), an...
Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study.
Journal of medical Internet research
May 15, 2025
BACKGROUND: Influenza viruses are major pathogens responsible for acute respiratory infections in humans, which present with symptoms such as fever, cough, sore throat, muscle pain, and fatigue. While molecular diagnostics remain the gold standard, t...
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