ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling. [PDF]
Tsai WP +7 more
europepmc +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
QoS-Aware State-Augmented Learning for Wireless Coexistence Parameter Management
Efficient and fair coexistence in unlicensed spectrum is critical for next-generation wireless networks such as 5G New Radio in Unlicensed Spectrum (NR-U) and Wi-Fi, which contend for shared resources under diverse Quality of Service (QoS) requirements ...
Mohammad Reza Fasihi +2 more
doaj +1 more source
Learning as filtering: Implications for spike-based plasticity
Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters.
Jannes Jegminat +2 more
doaj
Parameter optimised iterative learning control algorithm for multi-batch reactor
A two-dimensional iterative learning PID control algorithm with Markov tuning method for batch reaction process is presented in this study. The learning algorithm with parameters tuned by Markov method can be explicitly tackling the repetitiveness of ...
Shida Gao +4 more
doaj +1 more source
PSR: Unified Framework of Parameter-Learning-Based MR Image Superresolution. [PDF]
Liu H, Liu J, Li J, Pan JS, Yu X.
europepmc +1 more source
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source

