This research introduces a computational method that detects up to one trillion RNA viruses hidden in standard RNA-sequencing data. By targeting protein signatures shared across all RNA viruses, the approach reveals viral RNA that previously went unnoticed. This enables large-scale viral discovery, tracking, and potential breakthroughs in understanding disease mechanisms.

My research uses spatial RNA sequencing to map where genes are expressed within tissues affected by chronic inflammatory diseases. By capturing genetic information with precise spatial coordinates, it creates an atlas of disease-driving genes. This deeper understanding may reveal new biomarkers and therapeutic targets, enabling future treatments beyond symptom management.