As part of a diverse group of engineers and scientists partnering with St. Michael’s Hospital clinicians and researchers, April Khademi focuses on the diagnosis and treatment of diseases, through medical images and big data analytics.
external,The Institute for Biomedical Engineering, Science and Technology (iBEST) is a unique partnership between Ryerson University and St. Michael’s that brings together Ryerson’s engineering and science strengths with St. Michael’s biomedical research and clinical expertise to translate research concepts into real and testable health-care solutions.
Khademi designs novel image analysis and machine learning software tools that extract insights from medical images to identify causes and to model progression of diseases. In the past, this was done using manual methods like counting cells or measuring ventricular volumes, an especially tough task when doing large research studies of 10,000 patients or more.
Now that radiology and pathology images are both digital, Khademi is using innovative software tools to analyze large multi-centre data sets, discover disease subgroups and describe pathology more objectively. In a clinical setting, the result is fewer mistakes and lower variability in results, so patients can receive better quality care. For research purposes, such tools enable the development of personalized therapies that can drastically improve patient outcomes by delivering the right treatment at the right time.
Khademi’s research with iBEST will lead to clinical tools that improve medical workflow and lead to better treatment plans for patients. It will also lead to research tools that can help gather data and contribute to the body of medical knowledge. Where biology and engineering intersect, Khademi is creating technology that has a positive benefit for society and people who are ill and need care.
Assistant Professor, Electrical & Computer Engineering, Faculty of Engineering and Architectural Science
Core Faculty Member, Biomedical Engineering Program
Principal Investigator, Image Analysis in Medicine Lab (IAMLAB)
Affiliate Member, Data Science & Analytics Program
Scientist, Institute for Biomedical Engineering, Science and Technology