Randomized controlled trials (RCTs) carry prohibitive costs of up to hundreds of thousands of dollars per participant. Traditional matching approaches relying solely on general health status, disease progression, and demographic factors fail to optimize statistical accuracy, resulting in larger-than-necessary trials at high costs.

Technology
•  A Smartwatch-Informed Matching (SIM) protocol for enhanced clinical trial design
•  Leveraging continuous physiological data from commercially available wearable devices to enhance participant matching precision
•  Uses advanced analytics to calculate physiological similarity scores between trial participants
•  Ultimately enabling real-time outcome monitoring through both subjective self-reports and objective continuous data streams.

Potential Applications:
•  A transformative tool for pharmaceutical companies, healthcare organizations, and research institutions to plan and conduct more efficient clinical trials

Value Proposition: SIM delivers compelling economic and scientific advantages by significantly improving statistical power and accuracy while reducing required sample sizes and associated costs. The protocol enhances participant recruitment efficiency, provides objective real-time health outcome measurement capabilities, and improves covariate balance between treatment groups.