Digital Twins: A Fit-for-Purpose Solution to Elevate Clinical Trial Power and Efficiency

Traditional clinical trials often grapple with lengthy recruitment, high costs, and ethical challenges, but a fully integrated digital representation of patient populations is changing the game. Digital twins (DTs) offer a scalable, fit-for-purpose approach by using real-world data (RWD), AI/ML, and advanced simulations to streamline trial processes, reduce burdens, and enhance patient-centric outcomes.

Key Highlights from the White Paper:

• Real-Time Insights: Dynamically linked DTs continuously integrate data from wearables, EHRs, and other sources, enabling adaptive trial designs that swiftly respond to emerging insights.
• Enhanced Efficiency and Power: Virtual patient models can stand in for traditional control arms, speeding recruitment, cutting costs, and ensuring all patients have access to potentially life-saving treatments.
• Regulatory Alignment: Learn how global authorities, including the EMA and FDA, are acknowledging and endorsing DT methodologies for their rigor, transparency, and reproducibility.
• Broad Healthcare Applications: From precision medicine and hospital resource allocation to trials in rare and severe disease areas, DTs boost the efficiency and reliability of healthcare innovation.
• Proven Results: Read real-world use cases where DTs accelerated trial timelines, improved patient outcomes, and replaced traditional controls—backed by simulations in areas like diabetes and stroke progression.

Transform Clinical Trials with Predictive, Patient-Centric Digital Twins

By creating synthetic patient models that evolve in response to new data, Axtria’s innovative DT framework provides unmatched accuracy, adaptability, and predictive power. Discover how this approach raises trial efficiency, amplifies statistical power, and ensures patient-centric decision-making throughout the drug development lifecycle.

Ready to learn more?

Download the white paper and unlock actionable strategies for integrating DTs into your clinical trial operations, paving the way for a more efficient, ethical, and impactful future in clinical research.