Virtual Population Training 1

This project introduces the Virtual Population (VPop) training workflow in Certara IQ, demonstrating how mechanistic models can be used to simulate diverse virtual patients after calibrating a virtual population against observed data.

Overview

Objective:

Train and evaluate a virtual population that matches observed data distributions using Certara IQ’s modeling and simulation framework.

Core workflow:

Propose candidate patient parameterizations

Simulate the model across all proposals

Select those forming a population consistent with observed or target distributions

Where to start

Begin with training_1_vpop.ipynb. There is an accompanying solution file.