Laboratory for Interactive Optimization and Learning


Pregnancy Diagnostics in

Low-Resource Settings

Leveraging analytics in medical diagnostics


Saving Lives @ Birth Elevator Pitch


Develop and field test a simple, ultra-low-cost portable technology using off-the-shelf Microsoft Kinect sensors to generate digital 3D models of a patient’s geometry to extract common and novel anthropometric values as well as motion data from scans that takes less than 60 seconds to collect, are non-invasive and contact-free, and do not require skilled (medical) personnel for operation and result interpretation.

joint work with

the Dixon Lab

and the Gleason Lab

Predicting obstructed labor in low-resource settings.

Cephalopelvic disproportion (CPD) is one of the most common preventable causes of unfavorable pregnancy outcomes and one of the major contributors to high infant and maternal mortality rates in the developing world. According to the WHO report 8% of the maternal deaths worldwide are still attributable to CPD. A reliable, low-cost screening tool to identify at-risk women is of paramount importance especially in resource-limited areas where ultrasound screening is not available and cesarean sections are not a feasible delivery option. In such cases, early detection of CPD could allow for high-risk patients to be referred to urban clinics for medically observed labor or a cesarean procedure. The technology will present an economical and easy-to-use diagnostic alternative to more sophisticated imaging methods unavailable in the rural developing world.


07/2015: Saving Lives @ Birth 2015 Seed Grant Award Nominee

04/2015: ISYE/George Family Foundation Seed Grant in Predictive Health