Results 61 to 70 of about 1,129,295 (286)
Expanding Hereditary Spastic Paraplegias Limits: Biallelic SPAST Variants in Cerebral Palsy Mimics
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegias (HSP) are rare neurodegenerative disorders marked by spasticity and lower limb weakness. The most common type, SPG4, is usually autosomal dominant and caused by SPAST gene variants, typically presenting as pure HSP.
Gregorio A. Nolasco +18 more
wiley +1 more source
Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam +6 more
wiley +1 more source
Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-Poly [PDF]
, 2021 Hari Singh, Seema Bawa
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez +12 more
wiley +1 more source
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning [PDF]
, 2021 Wei Luo
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.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
The peculiar statistical mechanics of optimal learning machines [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2019 17 pages, 4 ...
openaire +4 more sources
Arthritis Care &Research, Accepted Article.Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case [PDF]
, 2021 Emma Viviani +2 more
openalex +1 more source
Spatial Statistics & Machine Learning.
Proposed for presentation at the Sandia Machine Learning/Deep Learning Workshop held July 25-28, 2022 in ,, 2022 Lyndsay Shand
semanticscholar +1 more source