… how to select a virtual population that matches the observed … model predictions by mitigating
the risk that spurious virtual … “plausible population” we can then select the virtual population …

… predict the effects of therapies on that disease. For most drug development applications,
it is important to predict … develop alternative virtual patients (VPs) and virtual populations (Vpops)…

… provide background for how Virtual Populations (VPops) form a … well-informed predictions
on the patient population in new, … When developing predictions with the virtual population, they …

… One of the main enablers to perform an ISCT is the availability of a finite population of
virtual patients, ie computational models able to predict (via simulation) relevant clinical …

… A comparison between virtual populations with a strong or weak American College of … panel
predictive for virtual population therapeutic responses suggested population dependencies …

… , predict exposure levels in healthy and special populations, and assess potential drug-drug
interactions [6]. This information is vital for optimizing dosing regimens and understanding …

… model were modified for each member of the virtual population. The resulting inter-individual …
of simulation 2 with variance predicted from a bounding ‘high variation’ virtual population. …

… populations have not been well documented. Therefore, we attempt to predict changes in
virtual world user populations … We use the proposed system to analyze the user population of …

… The use of virtual populations in the prediction of … The creation of virtual populations allows
the estimation of … Identifying extreme values of population clearance and evaluating the risk of …

… This review considers methodology to assess outcomes in populations of virtual patients,
thereby adding the capacity to identify the characteristics of individuals at particular risk of …