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Rewriting the rules of clinical trial success with Data & AI

Even modest delays in clinical trials can have significant financial implications: daily operational expenses can exceed $40,000, and potential revenue losses may reach $500,000 per day of delay. In this paper, we share a novel solution that mitigates the costs and complications generated by patient enrolment – the most significant bottleneck in clinical trial success.

Engineer clinical trial certainty with Trial Success Assurance.

In this paper, we share a new approach to clinical trials that brings structured analysis and predictive modelling into the design and planning stages, enabling clinical trial sponsors to challenge assumptions, simulate scenarios, and anticipate risks before trials begin.

Unlike traditional feasibility practices that often rely on local knowledge or prior experience, this approach leverages global insights at scale and transforms risk mitigation from a reactive task into a proactive, quantifiable discipline. In doing so, it opens up new opportunities for smarter planning – and even for risk-sharing models that were previously out of reach.

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