Computational Modeling in Developmental Biology
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What is computational modeling?
Computational modeling is the use of mathematics, physics, and computer science to create complex, dynamic models of systems based on multiple data points. The growth of sophisticated data-gathering technology such as wearable sensors and internet-connected medical devices has in part been responsible for the recent growth of the field.
Computational modeling has been applied to several fields including weather forecasting, flight simulation, and earthquake simulations, as well as the biological sciences. Computational models in use today can provide data on a biological system at multiple levels. This type of modeling is known as multiscale modeling.
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Scientist in Physical Sciences and Canada Research Chair â Tier 2 in Contrast Agents and Biosensors for Medical Imaging and Image-Guided Therapy (one position)
Sunnybrook Research Institute, Toronto, Canada
Job Description
The
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Summary
When the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic emerged in 2019, researchers rapidly recalibrated epidemiological computer models originally developed for other pandemics to serve as decision support tools for policy-makers and health care professionals planning public health responses. However, no current tools can predict the course of disease and help a doctor decide on the most appropriate treatment for an individual COVID-19 patient. “Digital twins” are software replicas of the dynamic function and failure of engineered products and processes. The medical analog, patient-specific digital twins, could integrate known human physiology and immunology with real-time patient-specific clinical data to produce predictive computer simulations of viral infection and immune response. Such medical digital twins could be a powerful addition to our arsenal of tools to fight future pandemics, combining mechanistic knowledg