// App-Quantinova.ai

POS1510-HPR (2022) : IDENTIFYING THEORY-DRIVEN THERAPEUTIC CONTENT FOR A SMARTPHONE APP FOR THE SELF-MANAGEMENT OF SJOGREN’S SYNDROME

Researchers

Presenter

  • M. Campbell

Principal Investigators

  • C. Mccallum

  • V. Deary

  • J. Ellis

  • T. Rapley

  • J. Vines

  • K. Hackett

Medical Centers

  • Teesside University, School of Social Sciences, Humanities, and Law, Middlesbrough, United Kingdom

  • University of Bristol, School of Computer Science, Electrical and Electronic Engineering and Engineering Maths, Bristol, United Kingdom

  • Northumbria University Newcastle, Faculty of Health and Life Sciences, Northumberland Building, United Kingdom

  • Northumbria University, Faculty of Health and Life Sciences, Newcastle upon Tyne, United Kingdom

  • Northumbria University Newcastle, Social Work, Education and Community Wellbeing, Newcastle upon Tyne, United Kingdom

  • University of Edinburgh, School of Informatics Institute of Language, Cognition and Computation Design Informatics, Edinburgh, United Kingdom

Locations

  • United Kingdom

Companies

  • N/A

Study Components

Therapeutic Area

  • Autoimmune (AI)

Disease

  • Sjogren's syndrome

  • Inflammatory Arthritis

Biomarkers

  • Amyloid Precursor Protein

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • N/A

Phase

  • N/A

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

Copyright © 2026. QuantiNova All rights reserved