Leveraging Large Data, Statistics, and Machine Learning to Predict the Emergence of Resistant E. coli Infections [PDF]
Rim Hur, Stephine Golik, Yifan She
openalex +1 more source
Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
Leveraging Machine Learning for Official Statistics [PDF]
Marco J. H. Puts +2 more
openalex +1 more source
Leveraging guidelines for ethical practice of statistics and computing to develop standards for ethical mathematical practice: A White Paper [PDF]
Catherine A. Buell +2 more
openalex +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer +3 more
wiley +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related tasks -- presents both opportunities and challenges for statistical inference. This paper introduces a GEneral Synthetic-Powered Inference (GESPI) framework that wraps around any statistical inference procedure to safely
Bashari, Meshi +4 more
openaire +2 more sources
GRB Progenitor Classification from Gamma-Ray Burst Prompt and Afterglow Observations
Using an established classification technique, we leverage standard observations and analyses to predict the progenitors of gamma-ray bursts (GRBs). This technique, utilizing support vector machine statistics, provides a more nuanced prediction than the ...
P. Nuessle, J. L. Racusin, N. E. White
doaj +1 more source

