Fatigue Investigation Using Digital Outcomes
Official title: Fatigue Investigation Using Digital Outcomes (FIDO) - An Exploratory Project
Run by University of Zurich · NCT07783074 · Data updated 2026-11-12
This study tests whether digital monitoring with a smartphone app and wearables can track fatigue in people with MS or long COVID, compared with healthy volunteers.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 122 (estimated) |
| Sponsor | University of Zurich Academic / other |
| Locations | 6 sites (Basel, Basel and 5 other locations) |
| Status | Recruiting |
| Started | May 26, 2026 |
| Main results expected | May 1, 2028 |
| Study ends | May 1, 2028 |
| Registry record updated | August 24, 2026 |
| Trial ID | NCT07783074 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with MS or long COVID, plus healthy volunteers, who own a smartphone and can provide informed consent, and fluent in German or English.
✕Probably not a fit
Individuals unable to wear devices or comply with the app-based tasks, or with conditions that affect fatigue too variably, may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter observational study collects continuous data from wearables and a smartphone app to characterize daily fatigue patterns in people with multiple sclerosis or long COVID, plus healthy controls. Participants wear devices and complete at-home cognitive and motor tests over about eight weeks, alongside periodic clinic visits. The goal is to see if digital measures correlate with standard fatigue assessments and to explore additional factors like sleep and autonomic function. Primary focus is feasibility of sustained wearable use and data completeness; secondary aims examine relationships between digital metrics and clinical or self-reported fatigue, with exploratory analyses including machine learning models for fatigue estimation.
Why it matters
Potential benefit: If successful, this approach could enable objective, real-time fatigue monitoring and improve understanding of fatigue fluctuations in these conditions.
How similar studies have gone: Previous work suggests digital biomarkers can reflect fatigue-related changes in neuroimmune and neuromuscular conditions, though this study is exploratory and builds on growing evidence.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria Multiple Sclerosis or Long COVID * Confirmed diagnosis of MS (by neurologist) or Long COVID (by medical doctor). * Smartphone ownership. * Provide written informed consent. * Fluent in German or English. Inclusion Criteria Healthy: * Smartphone ownership. * Provide written informed consent. * Fluent in German or English. Exclusion Criteria: * Concomitant medication affecting fatigue or ANS such as antidepressants prescribed or adjusted 1 month before the initial visit. * Unable to provide informed consent. * Unwilling or unable to comply with the study protocol. * Pregnancy or lactation. * For controls: Diagnosis of any chronic disorders or diseases that may affect fatigue or ANS. * For MS: Additional comorbidities that may affect fatigue or ANS such as autoimmune disease and cardiovascular disease. * For long COVID: Additional comorbidities diagnosed prior to the first acute COVID-19 infection that may affect fatigue or ANS such as autoimmune disease and cardiovascular disease.
Where it's running
-
Neurozentrum Basel Messeturm
Basel, Basel, Switzerland Recruiting -
Bellevue Medical Group - Neurozentrum Sternen / Neurozentrum Bellevue
Zurich, Canton of Zurich, Switzerland Recruiting -
University of Zurich
Zurich, Canton of Zurich, Switzerland Recruiting -
NeuroPraxis Zürich GmbH
Zurich, Canton of Zurich, Switzerland Recruiting -
Bellevue Medical Group - Neurozentrum Seefeld
Zurich, Canton of Zurich, Switzerland Recruiting -
Klinik Lengg AG
Zurich, Canton of Zurich, Switzerland Recruiting
Study contacts
- Study coordinator: Liliana Barrios, Dr. sc. ETH Zürich
- Email: fido@dsi.uzh.ch
- Phone: +41774141174
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
A platform for collecting health data on ME/CFS and Long Covid
This study is trying to collect health information from adults with ME/CFS and Long Covid to help researchers better understand these conditions and improve future treatments.
-
Treadmill-based virtual reality walking training for MS patients
This study tests whether a treadmill with virtual reality and smart socks can help people with multiple sclerosis walk better and feel safer in daily life.
-
Virtual Reality and Mental Practice to Improve Balance and Walking in Relapsing MS
This study tests whether virtual reality training or mental practice can improve balance and walking in people with relapsing–remitting multiple sclerosis.
-
REAL-MS: A Look at Autologous Stem Cell Transplant vs High-Efficacy MS Therapies in Real-World Care
This study tests how AHSCT compares to high-efficacy MS medicines in adults treated in routine clinical care.
-
Tolebrutinib in real-world MS care for patients treated by clinicians
This real-world study sees how tolebrutinib is used for multiple sclerosis patients and what outcomes look like in everyday practice.
-
Pilates via live video vs. prerecorded videos for people with multiple sclerosis
This study tests whether live, coach-led Pilates sessions through video calls are more beneficial than prerecorded Pilates videos for adults with MS.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.