Results 181 to 190 of about 750,368 (294)

Plasma Glial Fibrillary Acidic Protein Correlates With Brain Metal Burden in Wilson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuroinflammation driven by extracellular copper contributes to neuronal damage in Wilson's disease (WD). This study investigated the relationship between brain metal burden and peripheral neuroinflammation markers in WD. Methods We conducted a cross‐sectional study involving 89 participants, including patients with WD (n = 63 ...
Sung‐Pin Fan   +12 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Assessing a Mitochondrial Disease Treatment via a Novel Statistical Technique for Accelerometer Data

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Therapeutic development for mitochondrial diseases, rare genetic disorders with pathogenic defects of oxidative phosphorylation, is hindered by unsatisfactory outcome measures. To address this problem, we provide the first clinical application of a novel, bias‐adjusted outcome measure of acceleration across a range of subjects ...
Ian W. McKeague   +8 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

Plasma p‐tau181 as a Marker of Conversion to Alzheimer's Disease Dementia and Worsening in Cognitive Functions in Subjective Cognitive Decline and Mild Cognitive Impairment: A Longitudinal Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Plasma p‐tau181 has proven to be a promising diagnostic and prognostic tool in the earliest phases of Alzheimer's disease (AD). We aimed to evaluate the prognostic role of p‐tau181 in predicting conversion to AD dementia and worsening in cognition in mild cognitive impairment (MCI) and subjective cognitive decline (SCD).
Giulia Giacomucci   +12 more
wiley   +1 more source

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