Results 231 to 240 of about 2,738 (296)
Differentiating Human Falls from Daily Activities Using Machine Learning Methods Based on Accelerometer and Altimeter Sensor Fusion Feature Engineering. [PDF]
Jurčić K, Magjarević R.
europepmc +1 more source
After spinal cord injury, adult microglia remain persistently activated with chronic PRMT6 (protein arginine methyltransferase 6) upregulation. Prmt6 deficiency or inhibition reestablishes microglial homeostasis and promotes a scar‐limited repairment, enhancing axonal regrowth.
Weilin Peng +9 more
wiley +1 more source
A Multilevel Spatial Model to Investigate Voting Behaviour in the 2019 UK General Election. [PDF]
Horan K, Brunsdon C, Domijan K.
europepmc +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
Understanding the Drivers of Strike Actions Among Nurses in Ghana: A Qualitative Study. [PDF]
Atinga BE +5 more
europepmc +1 more source
Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity
Our study introduced a U@mP@Au‐mediated bilateral SERS‐microneedle patch for analyzing glucose levels from ISF and sensitively detecting TB biomarkers from sputum, respectively. This integrated dual‐analyte detecting platform can be used for co‐diagnosis of diabetes mellitus (DM) and tuberculosis (TB) comorbidity, which was demonstrated in ex vivo ...
Xueqin Huang +12 more
wiley +1 more source
Effects of focal brain damage on political behaviour across different political ideologies. [PDF]
Siddiqi SH +4 more
europepmc +1 more source
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
Cross-border political competition. [PDF]
Segovia-Martin J, Rivero Ó.
europepmc +1 more source
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen +15 more
wiley +1 more source

