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Thrombolytic therapy is the mainstay of stroke treatment. However, this treatment can be potentially harmful. A patient-specific model of expected outcome would greatly facilitate the treatment decision making process both for clinicians and patients. We propose to develop a clinical tool by incorporating the imaging and clinical dataset to predict the fate of tissue in ischemic stroke. We expect the product to enable real-time quantification of expected tissue outcomes using patient- and tissue- specific thresholds. This interdisciplinary project integrates Biomedical Engineering, Radiology and Neurology in developing an advanced health clinical tool, to guide the decision-making process in stroke treatment. Intellectual property and products developed will be transferred to the clinical partners at the Sunnybrook hospital.
Dr. Ting-Yim Lee
Armin Eilaghi
Sunnybrook Health Sciences Centre
Biology
Life sciences
Western University
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