Results 191 to 200 of about 12,168,638 (385)
The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh+22 more
wiley +1 more source
ssGBLUP Method Improves the Accuracy of Breeding Value Prediction in Huacaya Alpaca. [PDF]
Mancisidor B+6 more
europepmc +1 more source
Value of the Sisters’ Performance in Selecting Breeding Cockerels
Albert B. Godfrey
openalex +1 more source
ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun+21 more
wiley +1 more source
On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young. [PDF]
Bermann M+4 more
europepmc +1 more source
Unbiased estimation of the breeding value of bulls [PDF]
openaire +5 more sources
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian+7 more
wiley +1 more source
Case Study on Increasing Breeding Value Estimation Reliability of Reproductive Traits in Serbian Highly Prolific Large White and Landrace Sows. [PDF]
Stojiljković N+6 more
europepmc +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano+5 more
wiley +1 more source