Alimata Ouedraogo

The paper introduces miRNova, a platform for precise miRNA quantification using tailored stem-loop RT-qPCR and an analytical framework, showing superior specificity and accuracy in saliva samples.

This paper develops a non-invasive method to assess fragrance-induced emotions using salivary biomarkers, showing that specific biomarker patterns correlate with emotional states like happiness and confidence.

This study compares EV isolation methods in saliva, showing that co-precipitation is efficient and detects biomarkers missed by whole saliva analysis.

This study evaluates a commercial RT-qPCR kit for quantifying salivary miRNAs, finding technical limitations hinder reliable clinical interpretation.