Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study

Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study

(1) Objective: Systemic lupus erythematosus (SLE) is a complex disease involving immune dysregulation, episodic flares, and poor quality of life (QOL). For a decentralized digital study of SLE patients, machine learning was used to assess patient-reported outcomes (PROs), QOL, and biometric data for...

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Bibliographic Details
Main Authors: Eldon R. Jupe, Gerald H. Lushington, Mohan Purushothaman, Fabricio Pautasso, Georg Armstrong, Arif Sorathia, Jessica Crawley, Vijay R. Nadipelli, Bernard Rubin, Ryan Newhardt, Melissa E. Munroe, Brett Adelman
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:BioTech
Subjects:
SLE
digital
biosensor
patient-reported outcomes
signs and symptoms of flare
real-world evidence
Online Access:https://www.mdpi.com/2673-6284/12/4/62

Internet

https://www.mdpi.com/2673-6284/12/4/62

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