Results 271 to 280 of about 22,191,063 (377)

A clinical prediction model for schizophrenia based on machine learning algorithms. [PDF]

open access: yesFront Med (Lausanne)
Jin W   +7 more
europepmc   +1 more source

Rationale of New Grading System: Central Compartment Atopic Disease

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Central compartment atopic disease (CCAD) has recently been recognized as a distinct phenotype within the spectrum of type 2–dominant chronic rhinosinusitis (CRS). Although international guidelines highlight polypoid changes in the central nasal cavity, standardized diagnostic and classification criteria are still lacking.
Ramón Moreno‐Luna   +11 more
wiley   +1 more source

Bootstrapping on AI Models

open access: yes
this deliverable describes all the necessary procedures for execution of AI models in HPC or cloud ...
openaire   +1 more source

Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy

open access: yesAnnals of Neurology, EarlyView.
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen   +8 more
wiley   +1 more source

Turning Slowly Predicts Future Diagnosis of Parkinson's Disease: A Decade‐Long Longitudinal Analysis

open access: yesAnnals of Neurology, EarlyView.
Objective Wearable technology allows accurate measurement of turning while walking, with cross‐sectional studies indicating that difficulty turning presents even in preclinical phases of Parkinson's disease. The aim of our study was to quantify rate of change of turning performance in a cohort of older adults, and test whether turning decline can ...
Morad Elshehabi   +9 more
wiley   +1 more source

DNase1 RS1053874 Polymorphism is Associated with Early Neurological Recovery through NET Modulation and with Long‐Term Survival in Ischemic Stroke: A Prospective Cohort Study

open access: yesAnnals of Neurology, EarlyView.
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito   +10 more
wiley   +1 more source

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