Results 191 to 200 of about 249,007 (264)

ETV4 Promotes Colorectal Cancer Progression by Reprogramming Asparagine Metabolism to Remodel the Stromal Microenvironment

open access: yesAdvanced Science, EarlyView.
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

A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions

open access: yesAdvanced Science, EarlyView.
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

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

open access: yesAdvanced Science, EarlyView.
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]

open access: yesFront Public Health
Zheng Y   +7 more
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
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]

open access: yesCancer Manag Res
Reiner M   +5 more
europepmc   +1 more source

Alternating High‐Fat and Polysaccharide Diets Modulates Gut Phage‐Bacterial Interplay

open access: yesAdvanced Science, EarlyView.
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

Home - About - Disclaimer - Privacy