Solutions
Based on state-of-the-art and proprietary artificial intelligence and machine learning methodologies and algorithms, we deliver three types of solutions.
Clinical Development
optimization
Trial enrichment for faster recruitment and higher generalizability
Relaxing RCT inclusion/exclusion criteria based on Real-World Data to speed-up recruitment and improve result’s generalizability while maintaining probability of success....
Modeling Huntington Disease progression to de-risk Phase III trials
Modeling Huntington’s disease progression heterogeneity allows to de-risk Phase III trials while optimizing their probability of success by targeting rapidly...
Adaptive trial design with historical control to optimize prevention of mother-to-child HIV transmission
A Bayesiann adaptive trial with a historical control was designed to accelerate and de-risk trial and to optimize prevention of...
Market Access /
HEOR & Pricing
Predicting effectiveness from efficacy for an asthma drug to ascertain medical value towards regulators and payers
Building a predictive real-world disease model of asthma by integrating trial efficacy and drivers of efectiveness to predict the effectiveness...
Modeling care and disease progression to optimize switching time in heart failure
Predicting the long term effectiveness of various treatment sequences to optimize switching strategies and therefore maximize medical value and care...
Predicting long-term outcomes from short-term endpoints to demonstrate drug value in rare disease (sIBM)
The link between symptoms and long-term outcomes is critical for regulators and payers, but difficult to substantiate and even more...
Asset Lifecycle
Value Management
Pricing agreement based on long-term real-world cardiovascular outcomes in France
Modeling and predicting the real-life impact of a lipid-lowering drug on cardiovascular morbidity and mortality allowed to maintain reimbursement in...