Results 201 to 210 of about 85,695 (269)
Through a translational framework combining prospective dual‐center clinical cohorts with dextran sulfate sodium‐induced colitis models, this work integrated advanced neuroimaging, multi‐omics and neuromodulation interventions to redefine the high‐risk neurophenotype as a sustained pathogenic driver rather than a mere phenomenon, proposing brain‐gut ...
Xuehua Li +24 more
wiley +1 more source
Association between urinary polycyclic aromatic hydrocarbon metabolites and sleep disturbances: A cross-sectional study integrating machine learning and network toxicology. [PDF]
Bao Y, Liang B, Dong Y, Wang R.
europepmc +1 more source
Diurnal Air–Surface Temperature Dynamics in Hong Kong: An Analysis Across Land Use and Climate Zones
Daytime and nighttime air temperature (Ta) from automatic weather stations and land surface temperature (Ts) derived from ASTER and Landsat 8–9 are used to examine the relationship between Ta and Ts. The spatial and statistical characteristics of Ta − Ts dynamics are further analysed across land use (LU) and local climate zones (LCZ).
Ibrahim Ademola Adeniran +4 more
wiley +1 more source
Zone of inhibition prediction in silver nanoparticle antimicrobial activity via physics-guided liquid state machine. [PDF]
Dechakupt T +4 more
europepmc +1 more source
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She +4 more
wiley +1 more source
Interpretable Machine Learning Insights into Adhesion and Modulus of Biomedical HA-Dopamine Hydrogels. [PDF]
Zhang Y, Xu Y, Shi Y, Liang D.
europepmc +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Vision transformers- Kolmogorov-Arnold networks-based consumer driven surface cracks classification model. [PDF]
Wahab Sait AR, Sankaranarayanan S, Yu Y.
europepmc +1 more source
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov +10 more
wiley +1 more source

