This research examined how COVID-19 viral loads change over time across saliva, throat, and nasal samples. The study found that different sample types detect infection at different stages, demonstrating that testing method matters. These findings could improve diagnostic strategies for COVID-19, influenza, RSV, and future emerging respiratory viruses.

Respiratory Syncytial Virus (RSV) hospitalises thousands of children each year, yet effective treatments remain unavailable. This research investigates a critical protein–protein interaction that enables RSV infection. By identifying and disrupting key molecular binding sites using AI, the work aims to support the development of targeted antiviral therapies for severe RSV.