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Role of Physiology-based Models in Critical Care Medicine

June 28, 2016 @ 5:00 pm - 7:00 pm

Critical Care Medicine can substantially benefit from advanced engineering methodologies. Making a more impactful and timely clinical decision can mean life or death for a patient.  Mathematical models offer a means to attend to this need. Data-based, rules-based, and mechanistic models can individually, or in combination, enhance clinical decisions. This talk briefly presents examples of such models, and puts the spotlight on mechanistic models, in an industrial R&D environment. Using such models in an intensive care unit (ICU) setting in real-time can offer a glimpse of an impending disease or of the health status of an organ to a clinician already burdened with many patients and therapy devices to manage. Individualizing a mechanistic model to a specific patient requires parameter estimation or system identification techniques. These can be challenging tasks in view of the number of parameters to optimize, and of the nonlinear and time-varying nature of physiological systems. We began to scratch the surface of this important yet difficult task by applying real-time parameter estimation to ICU respiratory therapy. Results are encouraging, but a lot still need be done in order to help elevate critical care medicine one notch higher.

Speaker(s): Dr. Nicolas W Chbat,

Location:
Room: Edison Room
Bldg: 4 Irving Place
New York, New York
10003

Details

Date:
June 28, 2016
Time:
5:00 pm - 7:00 pm
Website:
http://events.vtools.ieee.org/m/40147

Organizer

[email protected]
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