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Digital Biomarkers in Multiple Sclerosis.

Anja Dillenseger1, Marie Luise Weidemann1, Katrin Trentzsch1

  • 1Multiple Sclerosis Center Dresden, Center of Clinical Neuroscience, Department of Neurology, University Clinic Carl-Gustav Carus, Dresden University of Technology, Fetscherstrasse 74, 01307 Dresden, Germany.

Brain Sciences
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

Digital biomarkers, including wearables and digital tests, offer personalized monitoring for multiple sclerosis (MS) patients. Challenges in validation and infrastructure hinder widespread adoption, but they promise improved precision medicine and patient care.

Keywords:
big datadigital biomarkersdigital health technologydigital twineHealthmultiple sclerosispersonalized therapyprecision medicine

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Digital Health

Background:

  • Multiple sclerosis (MS) management requires personalized therapy due to variable disease courses and early onset.
  • Traditional monitoring is limited, necessitating continuous, real-world data collection for timely intervention.
  • Digital health technologies offer novel ways to capture patient data beyond clinical visits.

Purpose of the Study:

  • To review existing and emerging digital biomarkers for multiple sclerosis (MS) care.
  • To explore the potential of digital health technologies in enabling precision medicine for MS.
  • To identify challenges and opportunities in implementing digital biomarkers for MS patients.

Main Methods:

  • Narrative review of published literature on digital biomarkers in MS.
  • Inclusion of existing and under-development digital biomarker technologies (wearables, digital tests, imaging software).
  • Gathering perspectives on the current state and future potential of digital biomarkers in MS.

Main Results:

  • Digital biomarkers from wearables and digitalized tests provide real-life data for continuous patient monitoring.
  • Technologies like optical coherence tomography and MRI software enhance diagnostic and prognostic capabilities.
  • These tools facilitate data acquisition for precision medicine and potentially a digital twin of the patient.

Conclusions:

  • Digital biomarkers hold significant promise for personalized MS care and improved patient outcomes.
  • Widespread implementation faces hurdles including validation, infrastructure, and data standardization.
  • Further research and development are crucial to overcome challenges and realize the full potential of digital health in MS.