Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Satellite Stem Cells and Muscular Dystrophy01:21

Satellite Stem Cells and Muscular Dystrophy

2.1K
Satellite stem cells or myosatellite cells are quiescent stem cells that Alexander Mauro first identified in 1961. These cells are located between the sarcolemma, the plasma membrane of muscle fibers, and the basal lamina, the connective tissue sheath covering it. These mononucleated cells are activated in response to muscle injury, can transform into myoblasts, and may form or repair muscle fibers. Myosatellite cells can provide additional myonuclei for muscle regeneration or return to a...
2.1K
EPS and iPS Cells in Disease Research01:21

EPS and iPS Cells in Disease Research

3.1K
Embryonic and induced pluripotent stem cells are excellent models for disease research because of their ability to self-renew and differentiate into most cell types. Somatic cells from a patient are isolated and reprogrammed into induced pluripotent stem cells or iPSCs. These iPSCs are later differentiated into the desired cell type, which mirrors the diseased cell of the patient. In this way, disease models have been created for investigating diseases such as Down syndrome, type I diabetes,...
3.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem?

Journal of medical Internet research·2026
Same author

Exploring attitudes and acceptance of artificial intelligence in multiple sclerosis from the patient perspective.

PLOS digital health·2026
Same author

Brain age gap in multiple sclerosis: associated with disability but independent of serum biomarkers.

Therapeutic advances in neurological disorders·2026
Same author

[Digital transformation in multiple sclerosis: Advances in diagnostics, monitoring and patient-centred care].

Fortschritte der Neurologie-Psychiatrie·2026
Same author

Beyond B Cell Depletion: Adhesion and Activation Network Remodeling During Repeated Intravenous Anti-CD20 Therapy in Multiple Sclerosis.

Neurology and therapy·2026
Same author

Intestinal resident effector-memory CD4 T cells on the adaptive-innate spectrum comprise IL-18 reactivity and adaptive CMV specificity.

Science advances·2026
Same journal

Mechanistic constraints in dengue severity: a systematic review with evidence stratification and agent-based evaluation of logical sufficiency.

Frontiers in immunology·2026
Same journal

Circadian control of immune homeostasis in cardiovascular health and disease.

Frontiers in immunology·2026
Same journal

An IHC-derived TLS-CD8-macrophage immune niche score predicts major pathological response to neoadjuvant chemoimmunotherapy in resectable NSCLC.

Frontiers in immunology·2026
Same journal

AF6 orchestrates macrophage polarization via JAK2-STAT3 signaling and supports intestinal regeneration by stimulating stem cell proliferation.

Frontiers in immunology·2026
Same journal

Restoring immune homeostasis in the spinal microenvironment: targeting mechano-inflammation and immunometabolic reprogramming.

Frontiers in immunology·2026
Same journal

A self-perpetuating neuron-intrinsic GSDMD-mtDNA-AIM2 inflammasome axis drives neuronal pyroptosis and cognitive impairment after traumatic brain injury.

Frontiers in immunology·2026
See all related articles

Related Experiment Video

Updated: Nov 5, 2025

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.4K

Digital Twins for Multiple Sclerosis.

Isabel Voigt1, Hernan Inojosa1, Anja Dillenseger1

  • 1Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany.

Frontiers in Immunology
|May 20, 2021
PubMed
Summary
This summary is machine-generated.

Digital twins offer personalized management for people with multiple sclerosis (pwMS). AI analyzes patient data to create tailored care strategies, improving outcomes and facilitating shared decision-making for MS patients.

Keywords:
decision analysisdigital twinmedical caremultiple sclerosispersonalized medicineprecision medicine

More Related Videos

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

17.8K
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.3K

Related Experiment Videos

Last Updated: Nov 5, 2025

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.4K
A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

17.8K
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.3K

Area of Science:

  • Neurology
  • Digital Health
  • Artificial Intelligence

Background:

  • Multiple sclerosis (MS) requires individualized disease management, yet current strategies lack precise patient-specific adjustments in routine care.
  • The complexity of MS necessitates innovative approaches for effective, long-term patient care.

Purpose of the Study:

  • To explore the potential of digital twins in advancing individualized disease management for people with multiple sclerosis (pwMS).
  • To review the advantages, challenges, and practical applications of digital twin technology in MS care.

Main Methods:

  • Artificial intelligence (AI)-based analysis of diverse patient data, including clinical outcomes, multi-omics, biomarkers, and lifestyle factors.
  • Creation of patient-specific digital twins for comprehensive data integration and analysis.
  • Utilizing digital twin dashboards for data visualization, clinical decision support, and treatment simulation.

Main Results:

  • Digital twins enable healthcare professionals to manage vast amounts of patient data, leading to more personalized and effective MS care.
  • Integration of multi-source data supports standardized clinical pathways, enhanced physician-patient communication, and shared decision-making.
  • Digital twins facilitate prediction of disease progression, treatment simulation, and improved patient participation in their care.

Conclusions:

  • Digital twins represent a revolutionary tool for improving MS diagnosis, monitoring, and therapy.
  • This technology can enhance patient well-being, reduce economic costs, and enable proactive prevention of disease progression.
  • Digital twins are poised to make precision medicine and patient-centered care a reality in the daily management of multiple sclerosis.