Understanding the process of pregnancy to uncover novel biomarkers





Cervical Remodeling


Panel of preterm biomarkers that reflects the biological pathways of pregnancy

By modeling the processes that occur during pregnancy, data mining and bioinformatics tools are used to discover a panel of novel biomarkers that can reliably predict the occurence of preterm birth in asymptomatic women

In-house developed multiplex immunoassay

Protein biomarkers are detected in cervicovaginal fluid samples with a high throughput multiplex immunoassay, providing a fast and accurate result within minutes to hours from sampling

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Data Mining and Multiple Pathway Analysis

Using biological data from the public domain and subjecting it to a multiple pathway analysis, we have identified a panel of biomarkers that are highly associated with preterm birth

Animal model and cell culture studies

The biological significance of these biomarkers were validated with mouse preterm models and in-vitro cell lines assays

Antibodies and Platform Development

In-house developed antibodies provide high affinity detection of protein biomarkers in cervicovaginal fluid. Incorporation of the antibodies into a multiplex immunoassay platform allows for accurate and sensitive prediction of preterm birth 

Multi-center clinical studies

We are establishing the world's largest biobank of cervicovaginal fluid samples for preterm birth study. This is achieved with a multi-center prospective clinical study with hospitals in Australia, China and Hong Kong


Multi-Center Clinical Studies

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Royal's Women Hospital & The Mercy Hospital for Women


Henan Provincial People's Hospital


Prince of Wales Hospital

World's largest bio-bank of cervicovaginal fluid for preterm birth study