Validation of a virtual patient and virtual trials method for accurate prediction of TGC protocol performance
Effective tight glycemic control (TGC) can improve outcomes, but is difficult to achieve. In silico virtual patients and trials offer significant advantages in cost, time and safety for designing effective TGC protocols. However, no such method has been fully validated. This study tests 2 matched cohorts from the Glucontrol trial treated with different protocols. The goal is to validate the ability of in-silico virtual patient models and methods to accurately predict patient-specific and clinical trial glycemic outcomes.