8 February 2024
Luis L. Fonseca,
Reinhard C. Laubenbacher
Complex computational models of patients can help guide care, but pose optimization challenges
Researchers built simplified metamodels that capture key dynamics of patient models
Metamodels enable running simulations to identify tailored, optimal treatments
Findings can then be applied back to more complex patient models
Simplified Model for Guiding Medical Treatments
Researchers developed simplified computational models called metamodels that can be used to help optimize medical treatments for patients. These metamodels can capture key dynamics from more complex, patient-specific models while being simpler to analyze. They enable running simulations to find optimal interventions, then applying findings back to the full patient models.
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