alexa Liping Feng | OMICS International
ISSN: 2572-5645

Advances in Molecular Diagnostics
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Liping Feng

 Liping Feng, MD is an Assistant Professor in the Department of Obstetrics and Gynecology and has been in her current position for 4 years.USA

Biography

She devotes her entire career to improve pregnancy outcomes through innovative research. Dr. Feng conducts both basic science/laboratory research, as well as participate in clinical studies. Her laboratory has focused on understanding the mechanisms of preterm birth which is an important cause of perinatal and neonates’ mortality and morbidity. Currently, she has four lines of investigation focused on the roles of progesterone receptors, inflammation/infection, genetic variation, and environmental exposure in preterm birth. This work is translated then to the clinical care of women through studies dedicated to identify risk factors and novel biomarkers for early prediction and prevention of preterm birth.

Dr. Feng services as associate director and instructor for Duke Molecular Bio Techniques Workshop. This two-credit workshop designed to train clinical fellows in basic laboratory techniques. This workshop attracts participants from around the country and is now part of the Duke Clinical Research Training Master’s Program (CRP265).

In addition, Dr. Feng has established an international collaboration in Global Women’s Health. She has recently affiliated with Duke Global Health Institute (DGHI) and participated in a DGHI research. She would also participate in DGHI education, service or policy initiative, including mentoring or teaching graduate and professional students on fieldwork or research, or teaching a course.
Her other interests include her family, running, reading and listening to music.

Research Interest

 Currently, she has four lines of investigation focused on the roles of progesterone receptors, inflammation/infection, genetic variation, and environmental exposure in preterm birth. This work is translated then to the clinical care of women through studies dedicated to identify risk factors and novel biomarkers for early prediction and prevention of preterm birth.

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