Q atar Foundation established Qatar National Research Fund (QNRF) in 2006 as part of its ongoing commitment to establish Qatar as a knowledge-based economy. Qatar Foundation views research as essential to national and regional growth; as the means to diversify the nation’s economy, enhance educational offerings and develop areas that affect the community, such as health and environment. 

Qatar National Research Fund aims to foster original, competitively selected research in More...


  • Time Zone: Arabia Time Zone UTC+03:00
  • Address: PO Box 5825, Doha, Qatar

أنشأت مؤسسة قطر الصندوق القطري لرعاية البحث العلمي عام 2006 كجزء من التزامها المستمر بإقامة الاقتصاد القائم على المعرفة في دولة قطر. وتولي مؤسسة قطر للبحوث أهمية قصوى استنادًا إلى دورها الحيوي في تحقيق النمو سواء داخل قطر أو على الصعيد الإقليمي، وكونها وسيلة لتنويع اقتصاد البلاد، وتعزيز الفرص التعليمية، وتطوير المجالات المؤثرة في المجتمع كالصحة والبيئة.

ويهدف الصندوق القطري لرعاية البحث العلمي إلى تشجيع الأبحاث المبتكرة المختارة على أساس تنافسي في

المزيد ...

  • التوقيت: توقيت غرينتش +3
  • صندوق البريد: 5825 الدوحة, قطر
  • فاكس: 8079 4454 974
  • الدعم الفني:
  • الموقع الالكتروني:

Wednesday, March 22, 2023 12:46 AM Doha Time

Using Mathematical Models to Improve Prenatal Care

Using Mathematical Models to Improve Prenatal Care

Exploring response of human tissue to the physical stresses of pregnancy

A research team from Carnegie Mellon University in Qatar (CMU-Q), funded under the 8th cycle of QNRF’s flagship National Priorities Research Program (NPRP), has created a digital 3D mathematical model to predict how human tissue responds to the physical stresses of pregnancy that may lead to the development of a new tool for doctors to measure the risk of miscarriage or pre-term delivery.

The research project titled “New Mathematical Models for the Large Strain Swelling Response of Biological Tissues: Applications to Edema, Inflammation, and Pregnancy” (Proposal number: NPRP8-2424-1-477), was led by Prof. Thomas Pence who worked along Dr. Hasan Demirkoparan and Dr. Heiko Topol, to develop a model that can be particularly useful in the area of personalized medicine in prenatal care. The model uses information from patients’ scans to help doctors forecast and adjust treatment to accommodate a woman’s risk for pre-term delivery or miscarriage.

“We have approached this question from a mathematical and mechanical engineering perspective,” said Dr. Topol. “Biological modeling is not an obvious topic for a mathematician and a mechanical engineer, so we have read a lot about the different factors and stresses on human tissue.”

Pence and Demirkoparan began studying the mathematics of soft tissue swelling around a decade ago when he was awarded a research grant from QNRF under the 4th cycle of NPRP for a research project titled, “New Mathematical Models for the Large Strain Swelling Response of Biological Tissues” (Proposal number: NPRP4-1138-1-178) to study how hyperelastic materials respond to stress and swelling as well as predict when and how different organ systems in the body can maintain a healthy status from a biomechanics perspective.  .

Team leader Professor Thomas Pence indicates that this pregnancy simulation modeling is unique in its ability to account for the simultaneous effects of pressure, organ swelling, and internal changes to the tissue collagen content. He states that, “We are extremely grateful for the funding support to develop the theoretical tools and computational simulation procedures that provide this unique capability.”

Similarly, Dr. Demirkoparan notes, “There is a direct correlation between the length of the cervix during pregnancy and pre-term labor.” He further adds, “If we can use mathematics to provide a tool for doctors to better predict, and perhaps mitigate, pre-term births, that would be very gratifying.”

The research team can see many ways in which their research can lead to better diagnostic tools in medicine, including the way arteries and veins respond to stress. As they look ahead, they would like to bring in experts from other disciplines to enhance the model and apply it to a medical setting and hope that their successful creation of collagenous tissue will contribute a lot to this area of investigation.

«March 2023»