BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250921T124445EDT-5888g0Kitf@132.216.98.100 DTSTAMP:20250921T164445Z DESCRIPTION:On the Use of Computational Models to Improve Understanding of Cardiovascular System Dynamics\n\nMette Olufsen\, North Carolina State Uni versity\n Tuesday September 23\, 12-1pm\n Zoom Link: https://mcgill.zoom.us/ j/87078928687\n In Person: 550 Sherbrooke\, Room 189\n \n Abstract: The incor poration of mathematical models in data analysis is essential for understa nding physiological processes and developing better diagnosis and treatmen t strategies. The primary focus will be on the use of computational models for the study of cardiovascular system dynamics. Vascular function is typ ically assessed either from non-invasive images\, including Echocardiogram s\, CT scans\, or MRI\, or time series measurements of heart rate\, blood flow velocity\, and blood pressure. We combine the former with fluid dynam ics models predicting flow in vascular networks perfusing a given organ an d the latter to examine how the system is regulated\, e.g.\, in response t o a head-up tilt test\, the Valsalva maneuver\, or active standing. Indepe ndent of the model type\, the use of a mathematical/computational model in clinical practice requires that the model be calibrated and validated aga inst data. Most models are defined by a system of equations\, with paramet ers describing how different model components are connected. Calibrating t he model to data involves determining parameters that identify the patient being studied. To do so\, we use sensitivity analysis to identify how inf luential each parameter is\, we use subset selection to determine what par ameters can be estimated given the model and available data\, and paramete r inference to determine unique values for the influential parameters. Usi ng this workflow\, we can calibrate any of the models studied to data and subsequently perform in-silico simulations to examine how changes can impa ct observed dynamics. Example studies will explore how to distinguish symp athetic and parasympathetic blood pressure in patients with autonomic dysf unction\, the use of micro-balloons in patients with pulmonary hypertensio n\, and how to track patients after a heart transplant.\n DTSTART:20250923T160000Z DTEND:20250923T170000Z SUMMARY:QLS Seminar Series - Mette Olufsen URL:/science/channels/event/qls-seminar-series-mette-o lufsen-367813 END:VEVENT END:VCALENDAR