Medical Operations Research Laboratory


The Medical Operations Research Lab (morLAB) has been a leader in developing OR tools, from optimization to machine learning to simulation, to improve medical and healthcare decision-making since its founding in 2007. morLAB is based in the Department of Mechanical & Industrial Engineering at the University of Toronto and is directed by Professor Dionne M. Aleman.

Research

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All Machine learning Optimization Networks Simulation
Prediction of COVID-19 severity
Predicting of COVID-19 hospitalization, ICU, and death at the time of RT-PCR testing, days in advance of a patient seeking medical care, allowing for improved care and resource allocation
Radiotherapy treatment planning
Automating the design and validation of radiotherapy treatment plans to better treat cancer
Single-entry waitlist surgical scheduling
Scheduling surgeries in a central waitlist across multiple collaborating hospitals and surgeons to maximize total surgeries and minimize wait times
Kidney paired donations
Matching pools of kidney patients to eligible donors to maximize total transplants
Bone marrow transplants
Predicting survival of bone marrow transplants using machine learning
Pandemic modeling and planning
Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning