Development of a real-time analytical tool for predicting the tissue fate in ischemic stroke

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.

Faculty Supervisor:

Dr. Ting-Yim Lee

Student:

Armin Eilaghi

Partner:

Sunnybrook Health Sciences Centre

Discipline:

Biology

Sector:

Life sciences

University:

Western University