Personalised medicine for multiple sclerosis care.

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Title: Personalised medicine for multiple sclerosis care.
Author(s): Gafson, A
Craner, MJ
Matthews, PM
Item Type: Journal Article
Abstract: Treatments with a range of efficacy and risk of adverse events have become available for the management of multiple sclerosis (MS). However, now the heterogeneity of clinical expression and responses to treatment pose major challenges to improving patient care. Selecting and managing the drug best balancing benefit and risk demands a new focus on the individual patient. Personalised medicine for MS is based on improving the precision of diagnosis for each patient in order to capture prognosis and provide an evidence-based framework for predicting treatment response and personalising patient monitoring. It involves development of predictive models involving the integration of clinical and biological data with an understanding of the impact of disease on the lives of individual patients. Here, we provide a brief, selective review of challenges to personalisation of the management of MS and suggest an agenda for stakeholder engagement and research to address them.
Publication Date: 1-Mar-2017
Date of Acceptance: 8-Sep-2016
URI: http://hdl.handle.net/10044/1/44898
DOI: https://dx.doi.org/10.1177/1352458516672017
ISSN: 1477-0970
Publisher: SAGE Publications (UK and US)
Start Page: 362
End Page: 369
Journal / Book Title: Multiple Sclerosis Journal
Volume: 23
Issue: 3
Copyright Statement: © The Author(s), 2016. Published by Sage Publications. Reprints and permissions: http://www.sagepub.co.uk/ journalsPermissions.nav
Keywords: Treatment response
multiple sclerosis
outcome measurement
Treatment response
multiple sclerosis
outcome measurement
Neurology & Neurosurgery
1103 Clinical Sciences
1109 Neurosciences
Publication Status: Published
Appears in Collections:Department of Medicine
Faculty of Medicine



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