AIMC Topic: Trichomonas vaginalis

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Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach.

Scientific reports Aug 19, 2019
Trichomonas vaginalis (T. vaginalis) detection remains an unsolved problem in using of automated instruments for urinalysis. The study proposes a machine learning (ML)-based strategy to increase the detection rate of T. vaginalis in urine. On the bas...
Humans Machine Learning Retrospective Studies Female Adult Male Middle Aged Diagnosis, Computer-Assisted ROC Curve Models, Theoretical Area Under Curve Sex Factors Cost-Benefit Analysis Pattern Recognition, Automated Trichomonas vaginalis Urinalysis Trichomonas Infections
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In vitro anti-Trichomonas vaginalis activity of Haplophyllum myrtifolium.

Journal of infection in developing countries Mar 31, 2019
INTRODUCTION: In the classic treatment of Trichomonas vaginalis infection, although metronidazole has been used since the 1960s, there has been an increase in MTZ-resistant T. vaginalis strains and failure in the treatment of trichomoniasis causes se...
Humans Female Plant Extracts Rutaceae Turkey Antiprotozoal Agents Parasitic Sensitivity Tests Trichomonas vaginalis Trophozoites
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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Scientific reports May 31, 2025
Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most women likely to experience it at least once. Traditional diagnosis involves manually observing vaginal discharge samples under a microscope. This process...
Humans Machine Learning Female Young Adult Adult Middle Aged Adolescent Trichomonas vaginalis Vaginitis Vaginosis, Bacterial Vaginal Discharge Gardnerella vaginalis Trichomonas Vaginitis
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