| Literature DB >> 32095743 |
E Ray Dorsey1,2, Spyros Papapetropoulos3,4, Mulin Xiong2, Karl Kieburtz1,2.
Abstract
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.Entities:
Keywords: Alzheimer disease; Amyotrophic lateral sclerosis; Biomarkers; Biosensing techniques; Huntington disease; Neurodegenerative diseases; Outcome assessment; Parkinson disease; Research; Smartphone; Technology; Therapeutics
Year: 2017 PMID: 32095743 PMCID: PMC7015357 DOI: 10.1159/000477383
Source DB: PubMed Journal: Digit Biomark ISSN: 2504-110X