Computational Systems Biology & Medicine
In biomedical engineering, computational modeling is used to help researchers gain an enhanced understanding of complex biological processes. It has many applications in medicine, which include improving our understanding of human physiology, visualizing and interpreting experimental data, and designing novel therapies. Below, learn more about ongoing research in computational modeling from investigators in the MU-MCW Department of Biomedical Engineering.
Computational Systems Biology & Medicine Laboratories
Airway Biomechanics Laboratory
Dr. Garcia and the Airway Biomechanics Lab (Airway Lab) are developing surgical planning tools for obstructive sleep apnea and nasal airway obstruction based on solid mechanics and fluid mechanics simulations.
Computational Lung Physiology Laboratory
Dr. Audi and collaborative researchers in the Computational Lung Physiology Laboratory (CLPL) use physiologically based pharmacokinetic modeling to identify biomarkers for detecting and monitoring acute lung injury and acute respiratory distress syndrome (ARDS).
Computational Systems Biology Laboratory
The Computational Systems Biology Laboratory (CSBL) uses an integrated experimental and computational modeling approach to understand kinetic and molecular mechanisms and the associated biochemical driving forces that regulate mitochondrial, cellular, and tissue/organ functions under healthy conditions, and how malfunctions in the mitochondrial and cellular machinery lead to tissue/organ dysfunctions and pathogenesis of different diseases.
Laboratory for Translational, Experimental & Computational Cardiovascular Research
The Laboratory for Translational, Experimental & Computational Cardiovascular Research (CV T.E.C.) is interested in the modeling, visualization and understanding of the roles of physiological driving forces generated by blood flow in the pathogenesis of congenital and acquired cardiovascular diseases.
Nanomedicine & Image-Guided Interventions Laboratory
Dr. Amit Joshi and researchers at the Nanomedicine & Image-Guided Interventions Laboratory (NIGIL) use computational modeling to better understand the protein-protein interaction network that regulates cell proliferation and division in health, viral infection, and cancer.
NeuroMotor Control Laboratory
Co-directed by Dr. Robert Scheidt, The NeuroMotor Control Laboratory (NMCL) uses computational modeling to advance understanding of how the human brain uses sensory information to control goal-directed movements and acquire novel sensorimotor skills.