Enhancing randomized clinical trials with digital twins

Area of Science:

• Biomedical informatics
• Clinical trial methodology
• Personalized medicine

Background:

• Randomized clinical trials (RCTs) face challenges in ethical standards and efficiency.
• Digital twins (DTs) offer a novel technological approach to address these limitations.

Purpose of the Study:

• To explore the transformative potential of DTs in enhancing ethical standards within RCTs.
• To investigate how DTs can improve the efficiency of clinical trial design and execution.
• To examine the application of DTs across the personalized medicine continuum, from pre-clinical to post-marketing.

Main Methods:

• Literature review and conceptual analysis of DT applications in clinical research.
• Exploration of DT integration in personalized medicine workflows.
• Identification and discussion of technological, legal, and ethical barriers to DT implementation.

Main Results:

• DTs can significantly improve ethical considerations in RCTs, including patient safety, informed consent, equity, and data privacy.
• DTs enhance trial efficiency through early adverse event detection and optimized trial design.
• DTs show promise in personalizing medical treatments from research through market surveillance.

Conclusions:

• Digital twins represent a paradigm shift for clinical trials and personalized medicine.
• Addressing technological, legal, and ethical challenges is crucial for successful DT implementation.
• DTs have the potential to revolutionize healthcare by enabling more ethical, efficient, and personalized medical interventions.