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Data-driven modeling to improve pulmonary hypertension risk stratification
Team: Lavender
- Program: Biomedical Engineering
- Course: Precision Care Medicine
- Year: 2023
Project Description:
Pulmonary hypertension (PH) is characterized by a mean pulmonary arterial (PA) pressure greater than 20 mmHg. The inability of the right ventricle to adaptively remodel drives disease. Pressure-volume loop data is the gold standard for assessing RV remodeling and are far superior to conventional right heart catheterization, MRI, and ECHO measurements. However, this procedure is not routinely performed.
Our team aims to apply data driven modeling techniques to improve patient risk stratification, determine emergent metabolic phenotypes of these defined groups, and to develop a classifier that can map conventional measurements to the gold-standard PV-loop states.