Southern Medical University Reports Findings in Bacterial Vaginosis (Rapid diagn osis of bacterial vaginosis using machine-learningassisted surface-enhanced Ram an spectroscopy of human vaginal fluids)
Southern Medical University Reports Findings in Bacterial Vaginosis (Rapid diagn osis of bacterial vaginosis using machine-learningassisted surface-enhanced Ram an spectroscopy of human vaginal fluids)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Vaginal Diseases and C onditions - Bacterial Vaginosis is the subject ofa report. According to news re porting originating in Guangzhou, People’s Republic of China, by NewsRxjournali sts, research stated, “Bacterial vaginosis (BV) is an abnormal gynecological con dition causedby the overgrowth of specific bacteria in the vagina. This study a ims to develop a novel method forBV detection by integrating surface-enhanced R aman scattering (SERS) with machine learning (ML)algorithms.”
Key words
Guangzhou/People’s Republic of China/A sia/Bacterial Infections and Mycoses/Bacterial Vaginosis/Cyborgs/Diagnostics and Screening/Emerging Technologies/Gynecology/Health and Medicine/Machine Learning/Vaginal Diseases and Conditions/Women’s Health
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