Results 131 to 140 of about 813,318 (331)
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini +13 more
wiley +1 more source
Researching of Intelligence Test Paper Generation Software based on Improved Genetic Algorithm in Java Program Design Teaching [PDF]
Qiufang Ma, Hao Pan
openalex +1 more source
Image Segmentation of Pitaya Disease Based on Genetic Algorithm and Otsu Algorithm [PDF]
Haokun Yan, Jiachen Ma, Zejing Feng
openalex +1 more source
Relapsing–Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome
ABSTRACT Objective Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammation, demyelination, and neurological impairment. While the gut microbiota's role in MS is extensively studied, the association between the oral microbiota and MS remains underexplored, particularly in North American cohorts.
Sukirth M. Ganesan +12 more
wiley +1 more source
Design of Recyclable Plastics with Machine Learning and Genetic Algorithm [PDF]
Chureh Atasi +2 more
openalex +1 more source
Analysis of the Comprehensive Evaluation Model of Enterprise Technological Innovation Ability Based on Improved Genetic Algorithm [PDF]
Kuizhen Rong
openalex +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Training Neural Networks with a Procedure Guided by BNF Grammars
Artificial neural networks are parametric machine learning models that have been applied successfully to an extended series of classification and regression problems found in the recent literature.
Ioannis G. Tsoulos +1 more
doaj +1 more source

