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Module 03 · Drug-Induced Risk Analysis
CiPA – Cardiac Safety
Assess drug-induced cardiac risk with CiPA-aligned workflows: bootstrap sampling, in silico simulation, biomarker postprocessing, and AI-assisted prediction models.
What's Inside
Sub-tools in this module
01
Bootstrap
Resample ion channel block data to build robust drug-effect distributions for the CiPA pipeline.
02
In Silico Simulation
Run the CiPA ventricular myocyte model under multiple drug concentrations to predict torsadogenic risk.
03
Postprocessing
Extract biomarkers such as qNet and APD90 from simulation outputs and visualize dose-response trends.
04
AI Biomarker Models
Apply machine-learning models trained on simulated biomarkers to classify drug risk category.
Use Cases
What you can do with this module
Screen new compounds for proarrhythmic risk early in drug development
Reproduce and extend CiPA initiative workflows on your own datasets
Generate qNet and other biomarker dose-response curves automatically
Compare AI-based risk classification against mechanistic simulation results
Support go/no-go decisions before costly animal or clinical studies
Train students and staff on the CiPA in silico paradigm
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