Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field
Ma et al.
The finding, in our words
Wearable-derived digital biomarkers have been accepted by regulatory agencies as endpoints in clinical trials for Duchenne muscular dystrophy, showing their potential to support decentralised diagnostics through patient-centric monitoring. This matters because it enables more sensitive and continuous assessment of disease progression outside clinical settings.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
The study found that smartwatch-based adherence monitoring showed consistent concordance over time and may be more reliable than app or pill count methods in measuring treatment adherence in a decentralised setting. This supports the use of wearable devices as objective tools in patient-centric monitoring for decentralised clinical trials.
A direct-to-participant, multichannel recruitment strategy enrolled 34,244 older adults into a virtual trial testing an Apple Watch based heart health programme with electrocardiogram and irregular rhythm notification features, achieving broad geographic and gender diversity but under-representing non-White ethnic groups.
This study found that a decentralised approach using home-based sleep apnoea screening, heart rhythm monitoring and activity tracking in patients with atrial fibrillation is feasible, with high data completeness and low drop-out rates. The results support the use of patient-centric digital tools in decentralised trials for chronic cardiac conditions.
In a Phase 1 crossover study of etrasimod, self-collected blood microsamples yielded pharmacokinetic exposures comparable to conventional venous sampling, both with and without participant practice sessions. Continuous wearable sensors concurrently enabled real-time remote monitoring of safety vital signs and electrocardiograms, demonstrating the viability of hybrid decentralised designs in early-phase clinical trials.
A large decentralised trial investigating a wearable device for COVID-19 detection retained 80.4% of participants at six months and 68.5% until completion. Multivariable analysis identified vaccinated pensioners as a high-risk discontinuation group, and targeted telephone calls reduced their dropout rate to 11.4%, showing that personalised retention strategies can improve engagement in remote diagnostic studies.