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OpenSampling

The Library

Papers on microsampling and monitoring, each with a finding paraphrased to our standard and labelled in one vocabulary. With a free account, every entry links to a legitimate copy; nothing is copied from an abstract.

Papers 1–5 of 283 labelled “Digital biomarkers”, newest first.

  1. 2026

    Direct-to-Participant Enrollment in a Virtual Trial: Lessons Learned From the Heartline Study

    A direct-to-participant, multichannel recruitment strategy enrolled 34,244 older adults into a virtual trial testing an Apple Watch based heart

    Hills et al., JACC. Advances

  2. 2026

    Home Spirometry as a Clinical Trial Endpoint in People with Cystic Fibrosis: Results of the OUTREACH Study

    Home spirometry gave slightly lower percent-predicted FEV1 values than office measurements cross-sectionally, but the three-month change in lung function did not differ significantly between settings.

    Rosenfeld et al., Annals of the American Thoracic Society (paywalled)

  3. 2026

    Measuring the added benefits of decentralized trial elements (SHASTA): impact on enrollment, demographics, and data completeness through a single sponsor

    Analysis of six studies revealed that decentralised clinical trial elements enhanced data completeness by enabling direct access to medical records, although this introduced a significant burden for data abstraction.

    Yang et al., Scientific reports

  4. 2026

    Association Between Neurofilament Light Chain and Real-World Ambulatory Function in Progressive MS

    In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL.

    Joseph et al., Annals of clinical and translational neurology (paywalled)

  5. 2026

    Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field

    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.

    Ma et al., Neurology and therapy (paywalled)

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