Anticipate exposure, variability, and risk — before you test.
Modeling & simulation help you make earlier, more confident decisions for special populations (pediatrics, renal/hepatic impairment, pregnant women, elderly, obese patients…).
What modeling really brings to your development program
Concrete deliverables to guide dose selection, study design, and risk level decisions.
Robust dosing strategy
Dose proposal(s) and dosing regimens, with safety margins and defined confidence levels.
Scenario-based comparisons
Comparison of study designs (doses, sample sizes, populations, etc.) to optimize the trial.
Regulatory justification
Traceable arguments and results to support discussions with health authorities.
A MIDD approach tailored to the available data
From rapid assessment to full mechanistic model development, depending on program maturity.
Critical data review
Data quality, structure, potential biases — and a minimal, decision-useful data plan.
Key decisions clearly framed
What needs to be decided, when, with what level of evidence, and which deliverables.
From strategy to execution
Operational-ready deliverables for clinical, non-clinical, and regulatory teams.
Case study #1
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Case study #2
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Case study #3
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Share your stage, your data, and your next decision
We provide a clear strategy, realistic timelines, and deliverables tailored to your needs.
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