CervoCheck™ LLC: Preterm Labor Detection
The issue of prevention and diagnosis of preterm labor has continued to plague the obstetric community. At present, preterm births account for 70% of neonatal morbidity and mortality. Current methods lack the ability to detect early indications of preterm labor and are unable to provide timely diagnosis to facilitate prevention of preterm birth. This means that by the time labor has truly manifested, birth can only be delayed by a few days. There is a need for a method to accurately detect early indications of preterm labor in patients with symptoms or known risk factors in clinical settings.
Sponsor
- Abimbola Aina-Mumuney, MD, Department of Gynecology and Obstetrics, JHU School of Medicine
Graduate Student Members
- Deepika Sagaram
- Karin Hwang
- Christopher Courville
- Rose Huang
Additional Information
- CervoCheck, LLC
- 2010 University of San Francisco Business Plan Competition - 1st Place
- 2010 University of Texas, Arlington IC2 Business Plan Competition - 2nd Place Overall / 1st Place Division II
- 2010 Noetic Technologies "Invent your Future" Competition - 2nd Place
- 2010 University of Louisville Cardinal Challenge Business Plan Competition - 3rd Place
- 2010 TEDCO Grant Recipient