▷Discovery of epigenetic biomarkers for prenatal diagnosis
▷Development of non-invasive prenatal testing
▷Discovery of prediction biomarker for high-risk pregnancy using multi-omics technology
▷Digital healthcare platform for pregnancy care
▷Big data and AI-based algorithm for prediction of high-risk pregnancy (CDSS)
▷Development of digital therapeutics for complicated pregnancy
Discovery of novel epigenetic biomarkers for prenatal diagnosis and development of diagnostic technology.
Establishing a future smart medical environment for safe pregnancy and delivery.
Early prediction-based systematic management and treatment.
"Innovative digital management approach"
Early prediction
A diagnostic platform for early prediction of high-risk pregnancy
Discovery of biomarkers for early prediction and diagnosis of high-risk pregnancy.
Discovery of biomarkers for prenatal diagnosis of Down Syndrome.
Discovery of biomarkers for detecting fetal nucleated red blood cells(fnRBC) in maternal blood.
Development of a platform for early prediction and diagnosis of high-risk pregnancy.
Development of a prenatal diagnostic test for Down syndrome.
Construction and analysis of multi-omics (genome, proteome, metabolome, and microbiome) databases.
MEC (Mother·Embryo·Child): A keyword representing "mother-to-child linkage" that connects from embryo to child through a woman's pregnancy.
Personalized smart care for pregnant women is possible through the "MEC-M platform".
Prevention/Treatment
Pregnant women's personalized smart care platform
Medical twin-based high-risk pregnancy simulation.
Development of big data and AI-based high-risk pregnancy prediction algorithm and self-test.
Development of health management applications for disease prevention.
Equipped with a digital care system for each high-risk pregnancy disease.
Development of digital space for pre-pregnancy education and communication.
Securing data by high-risk pregnancy disease.
Development of high-risk pregnancy early prediction algorithm.
Development of analytical visualization tools.
Automatically detect hypoglycemia through bio-signal analysis using AI.
An automated device capable of injecting, stopping, and normal intervening insulin.
Analyze glucose trends in realtime.
A digital pen license is in progress.