Comparison of Different Ultrasound Protocols in Patients with Inflammatory Polyneuropathies with Practical Insights. [PDF]
Grusauskiene E +3 more
europepmc +1 more source
ABSTRACT Objectives This study aimed to identify high‐risk factors for type 2 diabetes and develop a machine learning (ML)–based diabetes prediction model using nursing notes from home health care. Design Retrospective cohort study. Sample A total 7896 medical records from 1747 patients aged ≥ 20 years who received home health care at a university ...
Doyeon LIM +3 more
wiley +1 more source
Quantitative Assessment of Peripheral Nerve Echogenicity in Children and Adolescents Aged 2-17 Years: A Retrospective Cross-Sectional Ultrasound Study. [PDF]
Stahl JH +8 more
europepmc +1 more source
Ocular Manifestations in Dogs With Facial Nerve Dysfunction
ABSTRACT Objective To characterize the spectrum and frequency of ocular abnormalities associated with facial nerve dysfunction (FND) in dogs and to assess clinical outcomes, with specific comparison between brachycephalic (BC) and non‐brachycephalic (NBC) breeds: Methods Medical records of dogs with FND evaluated between 2009 and 2023 at the ...
L. Gaztelu, M. Leiva, T. Peña, J. Ríos
wiley +1 more source
How to Interpret a Nerve Conduction Study: A Stepwise Approach. [PDF]
Zelikovich AS +3 more
europepmc +1 more source
The potential role of IgG subclass in NF155-associated nodopathy for targeting therapy: a pediatric case report highlighting the efficacy of pulsed oral corticosteroids. [PDF]
Turčanová Koprušáková M +4 more
europepmc +1 more source
Multifocal motor neuropathy secondary to gluten intolerance: a case report. [PDF]
Haddouali K +5 more
europepmc +1 more source
Acetyl-L-Carnitine in the Treatment of Peripheral Neuropathies: A Narrative Review. [PDF]
Fornasari DMM.
europepmc +1 more source
Guillain-Barré Syndrome Following Rabies Vaccination: An Unusual Descending Presentation. [PDF]
Jindal K, Goyal C, Mittal V, Rawat A.
europepmc +1 more source
PGVDA: a pathway-aggregated genetic dosage framework for interpretable disease classification using machine learning. [PDF]
Shon S, Ko Y, Yoon H, Kwak K, Lee H.
europepmc +1 more source

