Design for Success: In Silico Simulations as the New Standard in Clinical Trials

Designing a clinical trial means making high-impact decisions with limited information. Traditional approaches—based on sequential testing, rigid protocols, and resource-intensive execution—have driven progress but remain costly, slow, and often suboptimal.

This white paper introduces in silico clinical trial simulation—an AI-powered approach that allows teams to test thousands of trial designs virtually before enrolling a single patient. By modeling real-world patient responses across diverse scenarios, simulation helps uncover avoidable pitfalls and identify the designs most likely to succeed.

Read this white paper to learn:

• What in Silico simulation is, and how it complements traditional clinical trial design

• Key benefits for development teams: early insight, reduced risk, shorter timelines, and improved trial feasibility

• How QuantHealth’s end-to-end simulation powered platform delivers scenario-based foresight, trial optimization, and portfolio alignment—using high-fidelity modeling to support faster, more informed decisions at scale