Situation
A leading pharmaceutical company sought to reduce delays in its drug development cycle caused by prolonged cohort identification, protocol design, and feasibility analysis. The R&D team needed a more predictive, data-driven way to understand how diseases progress in real-world settings and how patients respond to various treatment strategies.
Challenge
Traditional methods for study design and feasibility testing were reactive, time-intensive, and disconnected from real-world patient progression. There was no scalable framework to simulate disease trajectories, anticipate treatment responses, or validate protocols before launching trials. This led to inefficiencies in trial setup, under-optimized inclusion criteria, and inflated control group sizes.
Approach
Mu Sigma partnered with the client to develop a digital simulation framework that modeled disease progression virtually, enabling hypothesis testing and protocol design before study execution.
- Data Integration: Combined clinical trial data and real-world data across structured and unstructured sources.
- Digital Twin Development: Created patient archetypes to simulate multiple disease trajectories based on historical treatment patterns and
progression paths. - Interactive Dashboard: Built a dynamic simulation tool with visual views of patient states, survival curves, and treatment outcomes under
different protocol assumptions. - Experimentation Platform: Enabled researchers to run virtual simulations on trial design options, optimizing key variables like
inclusion/exclusion criteria and expected outcomes.
IMPACT
- Reduced protocol design time by 40%, enabling faster trial readiness.
- Allowed simulation of patient outcomes under various treatment pathways, improving confidence in study design.
- Enabled more precise inclusion criteria and optimized control arm sizing, reducing recruitment burden.
- Fostered cross-functional alignment between clinical, Health Economics and Outcomes Research (HEOR), and strategy teams by providing a common simulation platform.
Business Impact
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40%
Lesser Protocol Design Time
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More Precise Inclusion Data
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The firm's name is derived from the statistical terms "Mu" and "Sigma," which symbolize a
probability distribution's mean and standard deviation, respectively.