Clinical Platforms
Platforms and Services for Optimized Clinical Trials
Leveraging advanced modeling and simulation (M&S) is transforming clinical trial design, significantly reducing costs and timelines. Our innovative approaches ensure trials are efficient, ethical, and yield robust data, ultimately accelerating therapies to patients.
Virtual Trial Simulation
In silico trial design across patient populations and dose regimens
Predictive Trial Outcomes
Simulate clinical trial results using in silico models before actual patient enrolment, de-risking development pathways. Virtual trials enable exploration of multiple scenarios, dose regimens, and patient populations.
Complex Population Insights
Especially valuable for difficult-to-sample populations like pediatric studies, providing critical data where traditional trials are challenging. Our models extrapolate adult data to pediatric populations.
Clinical Trial Optimization
Minimizing burden while maximizing statistical power
Reduced Patient Numbers
Minimize participant enrollment while maintaining statistical power, lowering recruitment costs and ethical burdens. Advanced modeling techniques enable precise sample size calculations.
Optimized Sampling
Precisely determine ideal sampling time points, reducing patient burden and logistical complexities without compromising data quality. Our simulation models predict optimal PK/PD sampling schedules.
Enhanced Statistical Power
Ensure trial robustness by identifying optimal designs that maximize the likelihood of detecting true treatment effects. Advanced statistical modeling helps design trials with superior power characteristics.
Advanced Modeling Techniques
Population and physiologically-based approaches
Population PK/PD Modeling
Population PK/PD models accurately characterize drug behavior across diverse patient populations, accounting for variability in demographics, genetics, and disease characteristics, and inform dose selection strategies.
PBPK modeling
Our state-of-the-art PBPK platform generates highly accurate predictions of a drug's pharmacokinetics. By simulating absorption, distribution, metabolism, and elimination, we can optimize dosing, assess interactions, and forecast first-in-human PK.
Regulatory Integration & Compliance
All our platforms are designed with regulatory requirements in mind, providing the documentation, validation, and evidence needed for successful regulatory submissions. Our team works closely with regulatory agencies to ensure our modeling approaches meet evolving standards and expectations.
Regulatory Alignment
Ensure modeling approaches align with regulatory expectations and guidelines, facilitating smoother approval processes. Our methods meet FDA, EMA, and other regulatory requirements.
Robust Documentation
Provide comprehensive documentation of modeling assumptions, validation procedures, and uncertainty quantification to support regulatory submissions. Transparent reporting builds confidence.
Post-Market Surveillance
Extend modeling capabilities to post-market surveillance, enabling real-world evidence generation and continued optimization of dosing recommendations throughout the product lifecycle.
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