GoKawiilWearables and AI poised to reshape clinical trial design, researchers say
Researchers are increasingly using wearable devices—smartwatches, wristbands, patches and rings—to collect real-time physiological data such as heart rate, blood pressure and activity in clinical trials. Specialists say advances in sensor technology and AI could enable decentralized trials where participants are monitored remotely, with dosing personalized to individual data rather than fixed protocols. Current devices already track metrics via accelerometers, gyroscopes and photoplethysmography, with future versions potentially measuring biomarkers like glutamate and cortisol.
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Remote, wearable-based trials could cut costs, reduce participant dropout, and produce richer, continuous datasets compared to periodic clinic visits. This shift could democratize trial participation for people in remote or underserved communities, while also raising new questions about data quality, privacy and regulatory validation of consumer-grade sensors for medical decision-making.
- Wearables are moving from fitness tracking to core clinical trial infrastructure.
- AI could help personalize drug dosing and manage trial logistics like cohort selection.
- Decentralized, sensor-driven trials promise lower costs and better retention but require validated data quality.
Apple Watch Series 9 — As wearables increasingly become tools for real-time health monitoring in clinical research, the Apple Watch showcases exactly this kind of technology in everyday life—tracking heart rate, activity, and more. It's a great way to experience firsthand the kind of continuous physiological data collection that's reshaping how clinical trials could work in the future.
See Apple Watch Series 9 on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: nature.com — Fleming, 2026-09-16
Published there as: “Will wearable technologies transform clinical trials?”
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