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The First Frontier: Digital Biomarkers for Neurodegenerative Disorders
Open accessAbstract
Current measures of neurodegenerative diseases are highly subjective and based on episodic visits. Consequently, drug development decisions rely on sparse, subjective data, which have led to the conduct of large-scale phase 3 trials of drugs that are likely not effective. Such failures are costly, deter future investment, and hinder the development of treatments. Given the lack of reliable physiological biomarkers, digital biomarkers may help to address current shortcomings. Objective, high-frequency data can guide critical decision-making in therapeutic development and allow for a more efficient evaluation of therapies of increasingly common disorders.
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“The promise of digital biomarkers to create a paradigm shift in biomedical research and clinical treatment monitoring is evident.3”
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Metadata
- Authors
- Dorsey, E. R., Papapetropoulos, S., Xiong, M., & Kieburtz, K.
- Affiliations
- University of Rochester Medicine (US)
- Venue
- Digital Biomarkers
- Publisher
- S. Karger AG
- Published
- 2017-07-04
- Volume
- 1
- Issue
- 1
- Pages
- 6-13
- ISSN
- 2504-110X (ISSN-L)
- PMC
- PMC7015357
- OpenAlex
- W2732150368
- Cited by
- 162
- References
- 48
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 18 · 2023: 19 · 2022: 28 · 2021: 18 · 2020: 12 · 2019: 12 · 2018: 6 · 2017: 1
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Digital Biomarkers (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (P20NS092529)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- neurodegenerative diseases, disease progression monitoring, drug development, objective outcome measures, treatment evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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