AIMC Topic: Respiratory Syncytial Viruses

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Antiviral Peptide-Generative Pre-Trained Transformer (AVP-GPT): A Deep Learning-Powered Model for Antiviral Peptide Design with High-Throughput Discovery and Exceptional Potency.

Viruses Oct 25, 2024
Traditional antiviral peptide (AVP) discovery is a time-consuming and expensive process. This study introduces AVP-GPT, a novel deep learning method utilizing transformer-based language models and multimodal architectures specifically designed for AV...
Humans Peptides Drug Design Drug Discovery Influenza A virus Deep Learning Antiviral Agents High-Throughput Screening Assays Respiratory Syncytial Viruses
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Transcriptome assists prognosis of disease severity in respiratory syncytial virus infected infants.

Scientific reports Nov 11, 2016
Respiratory syncytial virus (RSV) causes infections that range from common cold to severe lower respiratory tract infection requiring high-level medical care. Prediction of the course of disease in individual patients remains challenging at the first...
Humans Prognosis Female Infant, Newborn Male Infant Severity of Illness Index Gene Expression Profiling Transcriptome Support Vector Machine Respiratory Syncytial Virus Infections Bronchiolitis, Viral Respiratory Syncytial Viruses
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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...
Humans Machine Learning COVID-19 SARS-CoV-2 Influenza A virus Biosensing Techniques Spectrum Analysis, Raman Metal Nanoparticles Respiratory Syncytial Virus, Human Nasopharynx Respiratory Syncytial Viruses Rhinovirus
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