Abstract
Wearable technologies have rapidly evolved from consumer fitness devices into sophisticated tools for medical research and healthcare. Smartwatches, fitness trackers, biosensor patches, smart rings, continuous glucose monitors, and other wearable systems can collect physiological and behavioural information continuously or repeatedly outside conventional clinical environments. This capability has created significant opportunities for developing digital biomarkers, which are objectively measured physiological, behavioural, or biological characteristics collected through digital technologies and used to understand health, disease, or treatment response. Unlike conventional clinical measurements obtained during occasional healthcare visits, wearable devices can provide longitudinal information concerning heart rate, physical activity, sleep, body temperature, glucose levels, oxygen saturation, movement, and other variables. Such information may support early disease detection, remote monitoring, personalized medicine, decentralized clinical trials, and assessment of treatment effectiveness. Wearables are increasingly being investigated in cardiovascular medicine, diabetes, neurological disorders, respiratory disease, mental health, rehabilitation, ageing, and clinical pharmacology. Their integration with artificial intelligence can further enable prediction of disease progression and identification of subtle changes in physiological patterns. Nevertheless, substantial challenges remain, including sensor accuracy, data quality, device interoperability, algorithmic bias, participant adherence, privacy, cybersecurity, regulatory uncertainty, and uncertainty regarding the clinical meaning of many digital measurements. Recent research highlights growing interest in wearable-derived digital biomarkers and their use in clinical trials and drug development. (nature.com) This paper examines the concept of wearable digital biomarkers, major technologies, applications in medical research, advantages, limitations, ethical considerations, and future directions. It argues that wearable technologies could significantly strengthen longitudinal medical research when their measurements are rigorously validated and meaningfully connected to clinical outcomes.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
