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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.

Original publication

DOI

10.1177/1352458516672017

Type

Journal article

Journal

Mult Scler

Publication Date

03/2017

Volume

23

Pages

362 - 369

Keywords

Treatment response, multiple sclerosis, outcome measurement, Humans, Multiple Sclerosis, Outcome Assessment (Health Care), Precision Medicine, Therapeutics, Treatment Outcome