Purpose of Review <p>Biosensors and digital tools may enhance monitoring of people with multiple sclerosis (MS) and support timely, data-driven clinical decisions. We review current and emerging applications of biosensors to monitor function in MS.</p> Recent Rindings <p>Biosensors track diverse physiological and kinetic metrics, allowing assessment of function across several key domains in MS, including physical activity, circadian rhythmicity, gait, balance, fine motor function, and bladder control. A consistent cross-study finding is that novel technologies reliably capture subtle abnormalities that are often missed by traditional assessment methods.</p> Summary <p>Digital health technologies hold significant promise for transforming MS care by enabling precise, continuous monitoring of functional status and disease progression. They may facilitate personalized management, allowing clinicians to tailor interventions based on each person’s unique disease trajectory. Further studies are essential to validate the predictive value and responsiveness of these tools and ensure their effective integration into clinical practice and trials.</p>

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Sensors in Multiple Sclerosis

  • Angeliki G. Filippatou,
  • Ellen M. Mowry

摘要

Purpose of Review

Biosensors and digital tools may enhance monitoring of people with multiple sclerosis (MS) and support timely, data-driven clinical decisions. We review current and emerging applications of biosensors to monitor function in MS.

Recent Rindings

Biosensors track diverse physiological and kinetic metrics, allowing assessment of function across several key domains in MS, including physical activity, circadian rhythmicity, gait, balance, fine motor function, and bladder control. A consistent cross-study finding is that novel technologies reliably capture subtle abnormalities that are often missed by traditional assessment methods.

Summary

Digital health technologies hold significant promise for transforming MS care by enabling precise, continuous monitoring of functional status and disease progression. They may facilitate personalized management, allowing clinicians to tailor interventions based on each person’s unique disease trajectory. Further studies are essential to validate the predictive value and responsiveness of these tools and ensure their effective integration into clinical practice and trials.