Results 191 to 200 of about 22,057,993 (342)

Plasma microRNA Signature as Predictive Marker of Clinical Response to Therapy During Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone   +19 more
wiley   +1 more source

Mean Field Theory for Graphical Models [PDF]

open access: green, 2001
Hilbert J. Kappen, Wim J. Wiegerinck
openalex   +1 more source

Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova   +5 more
wiley   +1 more source

Recombination Analysis Using Directed Graphical Models [PDF]

open access: bronze, 2001
Korbinian Strimmer   +2 more
openalex   +1 more source

A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints

open access: yesInternational Conference on Architectural Support for Programming Languages and Operating Systems, 2015
Nikita Mishra   +3 more
semanticscholar   +1 more source

A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester   +4 more
wiley   +1 more source

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