Results 201 to 210 of about 555,600 (315)
Assessing a Mitochondrial Disease Treatment via a Novel Statistical Technique for Accelerometer Data
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
A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]
Zhang J, Fan X, Zhao Z.
europepmc +1 more source
ABSTRACT Background Olfactory dysfunction is frequently observed in patients with multiple sclerosis (MS); however, its underlying mechanisms remain poorly understood. To date, no studies have directly examined the nasal mucosal microbiota in MS. This study aimed to explore potential relationships among olfactory function, nasal microbiota composition,
Zidan Gao +5 more
wiley +1 more source
A deep learning/machine learning approach for anomaly based network intrusion detection. [PDF]
Almuhanna R, Dardouri S.
europepmc +1 more source
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
Network intrusion detection model using wrapper based feature selection and multi head attention transformers. [PDF]
Umer M +5 more
europepmc +1 more source

