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Michael Dunbar is a professor in the School of Biomedical Engineering at Dalhousie University. His research focuses on improving patient outcomes through innovative surgical technologies and engineering solutions to surgical challenges. He is engaged in multiple projects, including predicting arthroplasty failures in hip and knee surgeries by utilizing Radiostereometric Analysis (RSA) for early detection of implant migrations, which can indicate potential late failures. He is also investigating gait analysis as a predictor of implant longevity, examining how post-surgery gait patterns could influence implant survival. With a commitment to advancing surgical techniques, Dunbar collaborates on refining RSA methodologies and developing practical gait lab tools using accelerometers to assess treatment impacts on patients with conditions like osteoarthritis. His academic influence is complemented by numerous publications in peer-reviewed journals, contributing substantial insights into his field.