AIMC Topic: Respiratory Syncytial Virus Infections

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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...

Point-of-need one-pot multiplexed RT-LAMP test for detecting three common respiratory viruses in saliva.

Biosensors & bioelectronics
Respiratory viral infections pose a significant global public health challenge, partly due to the difficulty in rapidly and accurately distinguishing between viruses with similar symptoms at the point of care, hindering timely and appropriate treatme...

Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

PloS one
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...

AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides.

Viruses
Human respiratory syncytial virus (RSV) remains a significant global health threat, particularly for vulnerable populations. Despite extensive research, effective antiviral therapies are still limited. To address this urgent need, we present AVP-GPT2...

CONSTRUCTING A DIAGNOSTIC PREDICTION MODEL TO ESTIMATE THE SEVERE RESPIRATORY SYNCYTIAL VIRUS PNEUMONIA IN CHILDREN BASED ON MACHINE LEARNING.

Shock (Augusta, Ga.)
Background : Severe respiratory syncytial virus (RSV) pneumonia is a leading cause of hospitalization and morbidity in infants and young children. Early identification of severe RSV pneumonia is crucial for timely and effective treatment by pediatric...

Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.

Viruses
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mutations can be developed through biologic selection or reverse-genetic manipulation and may include point mutations, codon and gene deletions, and geno...

RSV Severe Infection Risk Stratification in a French 5-Year Birth Cohort Using Machine-learning.

The Pediatric infectious disease journal
BACKGROUND: Respiratory syncytial virus (RSV) poses a substantial threat to infants, often leading to challenges in hospital capacity. With recent pharmaceutical developments to be used during the prenatal and perinatal periods aimed at decreasing th...

A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

Journal of infection in developing countries
INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related to respiratory tract infection (RTI). Rapid and accurate detection of hRSV is urgently needed to reduce the high morbidity and mortality due to hRSV ...

Transcriptome assists prognosis of disease severity in respiratory syncytial virus infected infants.

Scientific reports
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...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

Journal of comparative effectiveness research
In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evidence generation, a systematic review of clinical trial data linkage approaches, and real-world effectiveness evidence from England's respiratory sync...