Researchers led by Sofiane Bendifallah developed a non-invasive diagnostic approach for endometriosis using salivary microRNA signatures. This method may overcome the diagnostic delay associated with traditional laparoscopy, which averages 6.7 years. Besides aiding earlier detection, altered microRNAs identified provide insights into disease biology and potential therapeutic targets. Experts highlight the revolutionary potential of a sensitive and specific saliva-based biomarker panel to improve diagnosis accuracy and patient outcomes in this chronic condition affecting millions of women worldwide.