ThreeVix publishes paper on preterm birth prediction with Ewha Womans University Medical Center

[Asia Economy Reporter Myunghwan Lee] ThreeVix, a bio big data platform specialist company, announced on the 31st that it has published a paper titled 'Transfer of Vaginal Lactobacillus Species During Pregnancy and Prediction of Preterm Birth in Korean Women' in Scientific Reports, a sister journal of Nature, in collaboration with Professor Youngjoo Kim's team from the Department of Obstetrics and Gynecology at Ewha Womans University Mokdong Hospital.

The two institutions signed a memorandum of understanding in 2019 for research and development related to disease diagnosis and management using artificial intelligence (AI) and big data. Since then, they have conducted various studies based on omics data, among which they have published research results on the correlation between preterm birth and vaginal microbiota.

Preterm birth is defined as delivery before 37 weeks of gestation and accounts for 8% of births in Koreans. It is a major cause of neonatal and pediatric mortality and is highly associated with various diseases and developmental conditions such as neurodevelopmental disorders, cerebral palsy, learning disabilities, and visual impairments that affect long-term physical health.

Furthermore, academia recognizes that the vaginal microbiome of women is important for reproductive tract health and maintenance of pregnancy.

Over the past three years, the two institutions have analyzed the characteristics of vaginal microbial communities during pregnancy in a Korean female cohort and studied whether the characteristics of specific communities are related to the risk of preterm birth.

Professor Kim said, "Changes in the composition of the vaginal microbiome in pregnant women can be used as an indicator to predict and prevent preterm birth."

Junhyung Park, CEO of ThreeVix, explained, "The results analyzing microbial communities related to preterm birth demonstrate the excellence of our microbiome analysis platform."

This content was produced with the assistance of AI translation services.