Miad Boodaghidizaji

This paper develops a Raman spectroscopy tool for real-time monitoring of attenuated CMV in flow, demonstrating its ability to detect viral particles at high flow rates and across concentrations.

This study uses machine learning to classify chronic inflammatory diseases based on gut microbiota patterns and response to fiber, achieving up to 95% accuracy in distinguishing between conditions with overlapping dysbiosis.

This study determines the limit of detection of Raman spectroscopy for polystyrene particles in aqueous suspensions, showing its potential for detecting small particles like viruses.