Director of Orthopedic Engineering and 3D Musculoskeletal Imaging Lab
The Children's Hospital
Data-Driven Decision Making in Pediatric Orthopedic Care
Wednesday, April 12, 2017
to 4:30 PM
128 Mechanical Engineering Building
6100 Main St
Houston, Texas, USA
Personalized medicine aims to provide the patients with the most effective treatment based on each patient’s specific characteristics and risk assessments. In orthopedics, the pathomechanism of developmental conditions as well as the treatment outcomes can vary significantly based on the distinct characteristics of the patients’ musculoskeletal system. We work towards applying a combination of engineering concepts such as kinematics, dynamics and strength of materials, mathematical methods such as 3D inverse modeling, and statistical techniques such as clustering to extract and quantify the patients’ variables and predict the outcome of specific treatments in pediatric orthopedics. An example of such approach in patient-specific pre-surgical planning of adolescent idiopathic scoliosis (the most common type of spinal deformity) will be presented. The clinical applications of data-driven decision making and its integration with robotic surgery as an emerging technology in pediatric orthopedic care will be discussed.
Biography of Saba Pasha:
Dr. Saba Pasha is the director of Orthopedic Engineering and 3D Musculoskeletal Imaging lab in the Division of Orthopedic Surgery at The Children's Hospital of Philadelphia and an Adjunct Assistant Professor of Orthopedic Surgery at the Perelman School of Medicine, University of Pennsylvania. From 2012 to 2015, she was a postdoctoral fellow at the Pennsylvania State University and the Children’s Hospital of Philadelphia. She received her PhD in Biomedical Engineering from the University of Montreal and Sainte-Justine Hospital in 2012. She received her master’s degree from Concordia University in 2008 and her bachelor's degree from the University of Tehran in 2005, both in Mechanical Engineering. Her research interests include patient-specific treatment outcome, predictive modeling, gait and motion analysis, 3D medical imaging, and medical device development.