# Sensors in Multiple Sclerosis

## TL;DR

This paper explores how biosensors and digital tools can improve monitoring and treatment of multiple sclerosis by capturing detailed health data.

## Contribution

The paper reviews current and emerging biosensor applications for monitoring multiple sclerosis, highlighting their potential for precise and continuous health tracking.

## Key findings

- Biosensors can track physical activity, gait, balance, and other MS-related functions with high precision.
- Digital tools detect subtle abnormalities often missed by traditional methods.
- These technologies may enable personalized MS management based on individual disease progression.

## Abstract

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.

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.

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.