Results 191 to 200 of about 13,070,920 (333)

A machine learning model integrating radiomics and clinical factors to predict recurrence risk after rehabilitation in lumbar disc herniation. [PDF]

Medicine (Baltimore)
Qi Y, Feng Y, Xing X, Wang Z, Yang Y, Zhang L, Yu W.   +6 more
europepmc   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Triglyceride-glucose index, neutrophil-to-lymphocyte ratio, and high-sensitivity C-reactive protein across albuminuria stages in type 2 diabetes. [PDF]

Sci Rep
Seyam MM, Elhabiby HA, Hamed ZS, Fiky ERE, Elgebaly MM, Aboeida RA.   +5 more
europepmc   +1 more source

Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph, Megan McCune, Riley Bove, Ahmed Abdelhak, Bruce A. C. Cree, Valerie J. Block   +5 more
wiley   +1 more source

elrm: Software Implementing Exact-Like Inference for Logistic Regression Models [PDF]

Exact inference is based on the conditional distribution of the sufficient statistics for the parameters of interest given the observed values for the remaining sufficient statistics.
Brad McNeney, David Zamar, Jinko Graham
core  

Development of a Machine Learning Model to Predict Short Duration HCV Treatment Response. [PDF]

J Viral Hepat
Carson JM, Barbieri S, Verich A, Tu E, Lloyd A, Dore GJ, Matthews GV, Martinello M.   +7 more
europepmc   +1 more source

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source

Appendicular Skeletal Muscle Mass and Sarcopenia as Prognostic Markers in Amyotrophic Lateral Sclerosis. [PDF]

J Cachexia Sarcopenia Muscle
Zarco-Martín MT, Andreo-López MC, Yagui-Beltrán MS, Fernández-Soto ML.   +3 more
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Estimation of Cardiometabolic Risk in Turkish Adolescents Using Different Anthropometric Techniques: Development and Temporal Validation of a Machine Learning Model. [PDF]

Nutrients
Kahriman M, Çakır Biçer N, Baş M.
europepmc   +1 more source