Predicting responders to therapies for multiple sclerosis.
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Clinical correlates of grey matter pathology in multiple sclerosisPersonalized medicine in multiple sclerosis: hope or reality?Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approachA pharmacogenetic study implicates SLC9a9 in multiple sclerosis disease activityShifting imaging targets in multiple sclerosis: from inflammation to neurodegeneration.Magnetic resonance imaging in multiple sclerosis--patients' experiences, information interests and responses to an education programme.Observational study assessing demographic, economic and clinical factors associated with access and utilization of health care services of patients with multiple sclerosis under treatment with interferon beta-1b (EXTAVIA).Transient oscillatory dynamics of interferon beta signaling in macrophagesAdverse events during the titration phase of interferon-beta in remitting-relapsing multiple sclerosis are not predicted by body mass index nor by pharmacodynamic biomarkers.Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the futureMxA mRNA quantification and disability progression in interferon beta-treated multiple sclerosis patientsRelapsing-remitting multiple sclerosis: patterns of response to disease-modifying therapies and associated factors: a national survey.Utility of the rio score and modified rio score in korean patients with multiple sclerosis.A prospective, randomized, controlled trial of autologous haematopoietic stem cell transplantation for aggressive multiple sclerosis: a position paper.Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 2-Surveillance for Treatment Complications and Disease Progression.Determinants of interferon β efficacy in patients with multiple sclerosis.Sieving treatment biomarkers from blood gene-expression profiles: a pharmacogenomic update on two types of multiple sclerosis therapy.Contribution of magnetic resonance imaging to the diagnosis and monitoring of multiple sclerosis.Drugs in clinical development for multiple sclerosis: focusing on anti-CD20 antibodies.Treatment options for patients with multiple sclerosis who have a suboptimal response to interferon-β therapy.The emerging agenda of stratified medicine in neurology.Pharmacology and clinical efficacy of dimethyl fumarate (BG-12) for treatment of relapsing-remitting multiple sclerosis.Predicting long-term disability outcomes in patients with MS treated with teriflunomide in TEMSO.Evaluating response to disease-modifying therapy in relapsing multiple sclerosis.Overview of magnetic resonance imaging for management of relapsing-remitting multiple sclerosis in everyday practice.The clinical perspective: How to personalise treatment in MS and how may biomarkers including imaging contribute to this?Serum Neuroinflammatory Disease-Induced Central Nervous System Proteins Predict Clinical Onset of Experimental Autoimmune Encephalomyelitis.The role of glatiramer acetate in the early treatment of multiple sclerosisDefining and scoring response to IFN-β in multiple sclerosis.MS lesions are better detected with 3D T1 gradient-echo than with 2D T1 spin-echo gadolinium-enhanced imaging at 3T.Brain atrophy as a non-response predictor to interferon-beta in relapsing-remitting multiple sclerosis.miR-145 and miR20a-5p Potentially Mediate Pleiotropic Effects of Interferon-Beta Through Mitogen-Activated Protein Kinase Signaling Pathway in Multiple Sclerosis Patients.Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis.Neutralizing Antibodies Against Interferon-Beta in Korean Patients with Multiple Sclerosis.Disability progression markers over 6-12 years in interferon-β-treated multiple sclerosis patients.Predictive value of early magnetic resonance imaging measures is differentially affected by the dose of interferon beta-1a given subcutaneously three times a week: an exploratory analysis of the PRISMS study.Permeability of the blood-brain barrier predicts no evidence of disease activity at 2 years after natalizumab or fingolimod treatment in relapsing-remitting multiple sclerosis.Evaluating the response to glatiramer acetate in relapsing–remitting multiple sclerosis (RRMS) patientsChange in the clinical activity of multiple sclerosis after treatment switch for suboptimal response
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Predicting responders to therapies for multiple sclerosis.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on October 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Predicting responders to therapies for multiple sclerosis.
@en
Predicting responders to therapies for multiple sclerosis.
@nl
type
label
Predicting responders to therapies for multiple sclerosis.
@en
Predicting responders to therapies for multiple sclerosis.
@nl
prefLabel
Predicting responders to therapies for multiple sclerosis.
@en
Predicting responders to therapies for multiple sclerosis.
@nl
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P2860
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Predicting responders to therapies for multiple sclerosis.
@en
P2093
Manuel Comabella
Xavier Montalban
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P2888
P304
P356
10.1038/NRNEUROL.2009.139
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P577
2009-10-01T00:00:00Z
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1002089713