Multiple Sclerosis

A machine learning model applied to real-world data in a multiple sclerosis study increased patient inclusion for future real-world studies on assessing patient outcomes and disability progression.

The associate professor of neurology at Icahn School of Medicine at Mount Sinai and associate professor of neurology at University of Colorado School of Medicine talked about the potential of redefining relapses in the landscape of clinical trials for multiple sclerosis. [WATCH TIME: 3 minutes]

Mark Freedman, MD, MSc, Tanuja Chitnis, MD, and Ahmed Obeidat, MD, PhD, answer questions about biomarkers in MS care.

Mark Freedman, MD, MSc, Tanuja Chitnis, MD, and Ahmed Obeidat, MD, PhD, discuss future directions in MS amid increasing advances in the field.

Mark Freedman, MD, MSc, Tanuja Chitnis, MD, and Ahmed Obeidat, MD, PhD, discuss the limitations of neurofilament light chain in identifying disease progression.

The assistant professor of neurology at The Ohio State University Wexner Medical Center talked about results from an ongoing study assessing biological aging in patients with multiple sclerosis using epigenetic clocks and p16INK4a. [WATCH TIME: 6 minutes]

The staff neurologist at the Mellen Center for Multiple Sclerosis at Cleveland Clinic talked about findings from an interim analysis of the phase 2 CALLIPER trial assessing vidofludimus calcium in progressive multiple sclerosis. [WATCH TIME: 4 minutes]

A recent study presented at the 2024 ACTRIMS Forum suggests that increased aerobic glycolysis in normal appearing white matter may be an early feature of multiple sclerosis.

New data from the TRAP-MS trial showed clemastine fumarate's association with increased disability accumulation in cases of non-lesional multiple sclerosis.

A recent study presented the 2024 ACTRIMS Forum showed that a subset of CD8+ T cells preferentially expanded in the cerebrospinal fluid of patients with multiple sclerosis.

A recent study presented at the 2024 ACTRIMS Forum revealed the association between paramagnetic rim lesions and subsequent cognitive decline in patients with multiple sclerosis.

New findings from a study presented at the 2024 ACTRIMS Forum revealed an increase in epigenetic age acceleration among a subgroup of patients with multiple sclerosis.

Using a 4-point score change on Symbol Digits Modalities Test, more than 80% of patients had either sustained improvement or no sustained change after 2 years of treatment with cladribine.

The director of Cleveland Clinic’s Mellen Center for Multiple Sclerosis Treatment and Research talked about recent findings on long-term impact of ozanimod in patients with relapsing-remitting multiple sclerosis presented at ACTRIMS Forum 2024. [WATCH TIME: 4 minutes]

A new study showed that NLRX1, a mitochondrial innate immune sensor, may serve as a promising therapeutic target to prevent inflammatory neurodegeneration in multiple sclerosis.

A recent study presented at 2024 ACTRIMS Forum showed that body mass index may influence disease progression in patients with multiple sclerosis.

These data, presented at 2024 ACTRIMS Forum, highlight the impacts neurofilament light has on patients with multiple sclerosis irrespective of race or ethnicity.

Long-term data from the phase 3 DAYBREAK trial affirmed sustained efficacy of ozanimod for relapsing forms of multiple sclerosis, with a high amount of patients who were relapse-free at 6 years.

Mark Freedman, MD, MSc; Tanuja Chitnis, MD; and Ahmed Obeidat, MD, PhD, discusses the challenges associated with the cost of MRI and other important tools in the monitoring and assessment of MS.

Tanuja Chitnis, MD, discusses the CLIMB database and study to identify predictors of future disease and determine the effect of treatment on progressions and disability.

Neurology News Network for the week ending February 24, 2024. [WATCH TIME: 3 minutes]

Mark Freedman, MD, MSc, Tanuja Chitnis, MD, and Ahmed Obeidat, MD, PhD, contextualize data from large studies regarding the utilization of neurofilament light chain.

Mark Freedman, MD, MSc, Tanuja Chitnis, MD, and Ahmed Obeidat, MD, PhD, discuss how use of biomarkers has affected understanding and assessment of lesion types.