Comparing machine learning and artificial neural network models in psychological research: a ROC-based analysis. [PDF]
Leitner ML, Arendasy M.
europepmc +1 more source
ETV4 coordinates a dual transcriptional program by upregulating MET and asparagine synthetase (ASNS). The resulting asparagine (Asn) secretion acts as a metabolic signal, reprogramming hepatic stellate cells (HSCs) and primary cancer‐associated fibroblasts (CAFs) toward an inflammatory phenotype. These activated stromal cells release HGF to sustain the
Dujiang Fu +14 more
wiley +1 more source
Predicting Prolonged Hospital Length of Stay in Trauma Patients Using Machine Learning Techniques: A Cross-Sectional Study. [PDF]
Maghsoudi M +3 more
europepmc +1 more source
A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies +14 more
wiley +1 more source
Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease. [PDF]
Joseph Raj AM, Kruthika SL, S A.
europepmc +1 more source
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source
Developing and validating machine learning models to predict vaccine hesitancy and literacy among adults in the United States. [PDF]
Zheng Y +7 more
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Improving Non-Invasive Prediction of Thyroid Nodule Malignancy: A Machine Learning-Based Clinical Approach. [PDF]
Reiner M +5 more
europepmc +1 more source
Alternating High‐Fat and Polysaccharide Diets Modulates Gut Phage‐Bacterial Interplay
This study reveals how alternating high‐fat and polysaccharide diets reshape the human gut virome and enhance phage‐bacteria interactions. Using large‐scale metagenomic meta‐analysis and a time‐resolved mouse model, the authors show that diets strongly modulate phage abundance, lifestyle, and gene exchange, offering new insights into nutrition‐guided ...
Fengxiang Zhao +6 more
wiley +1 more source

