In this episode, we discuss how artificial intelligence and precision medicine may shape the future of lupus care by supporting more personalized, patient-centred approaches. We explore how AI could help with day-to-day disease management, flare prediction, and treatment decisions, while also highlighting important limitations and considerations for patients.
Bio: Dr. May Choi is a rheumatologist and clinician scientist who started on faculty at the Cumming School of Medicine, University of Calgary in 2020. She is an early career investigator, and her research is focused on biomarker discovery and validation for prediction of clinical outcomes in autoimmune rheumatic diseases, and the prevention of autoimmune disease development and disease-related complications. Her background and training include a Masters of Public Health in Epidemiology at Harvard University and a lupus fellowship at the Brigham and Women’s Hospital (Boston, MA) under the supervision of Dr. Karen Costenbader (epidemiologist, lupus expert and Professor of Medicine at Harvard Medical School). Dr. Choi is also the Associate Director of MitogenDx Laboratory for novel autoantibody and biomarker testing for autoimmune diseases and the Associate Director of Research for the University of Calgary Lupus Centre of Excellence, which complement her research. She is funded by several career development awards including the Helios UCMG Post Fellowship Training Award, Dr. Subrata Ghosh Fellowship Award, and the Lupus Foundation of America Gary S. Gilkeson Career Development Award. She also received a Canadian Institutes of Health Research project grant in her first year as an early career investigator.