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Immuno-oncology Simulator™
Revolutionizing immuno-oncology with predictive modeling
Learn more about the Immuno-oncology Simulator
QSP model for immuno-oncology therapies
Certara’s Immuno-oncology (IO) Simulator is a cutting-edge quantitative systems pharmacology (QSP) modeling platform designed to predict optimal drug combinations, dosing regimens, and biomarkers in virtual patients with solid tumors. When monotherapies do not effectively address the complexities of solid tumors, a new approach is needed where combination therapies can be considered. By simulating the complex dynamics of the Cancer Immunity Cycle, the IO Simulator empowers researchers to make data-driven decisions for immuno-oncology therapies. This innovative tool integrates pre-clinical data to refine models and forecast clinical outcomes, enabling the development of personalized treatment strategies for specific indications and tumor phenotypes.
Features of the IO Simulator immuno-oncology modeling platform
The IO Simulator offers a mechanistic model of the Cancer Immunity Cycle, delivered through QSP Designer software. It facilitates modular development of a compound’s mechanism of action, calibrated with pre-clinical data, and integrates these models to predict clinical outcomes. Virtual trials conducted with the IO Simulator account for tumor heterogeneity, providing insights into optimal dosing and patient stratification biomarkers.
Modules of IO Simulator
- Tumor, lymph, and blood compartments
- Tumor cells
- T cells
- Dendritic cells
- Macrophages
- NK cells
- Multiple cytokines
Drug modalities
- mAb
- bsAb
- ADC
- Small molecules
Model is calibrated to clinical data from the following drugs
- Pembrolizumab (anti-PD1)
- Nivolumab (anti-PD1)
- Ipilimumab (anti-CTLA4)
- Sotigalimab (anti-CD40; agonist)
- Docetaxel (chemotherapy)
Meet the QSP expert
Andrzej Kierzek
VP, QSP R&D
Driving innovation in QSP with 25+ years of expertise in molecular and systems biology, leading a team of 20+ scientists to build cutting-edge models and knowledgebases
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Related resources
View allIO Simulator: A QSP Platform for Immuno-Oncology
QSP Modeling in Cancer Therapy | Advancing Tumor-Selective Treatments
Quantitative Systems Pharmacology approaches for immuno‐oncology: adding virtual patients to the development paradigm
Optimize Immuno-oncology Drug Discovery and Development Using QSP
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