Results 201 to 210 of about 85,695 (269)

Multimodal MRI and multiomics reveal high‐risk neurophenotype in brain‐gut circuits as therapeutic target for Crohn's disease

open access: yesInterdisciplinary Medicine, EarlyView.
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

Diurnal Air–Surface Temperature Dynamics in Hong Kong: An Analysis Across Land Use and Climate Zones

open access: yesInternational Journal of Climatology, EarlyView.
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]

open access: yesBiomater Biosyst
Dechakupt T   +4 more
europepmc   +1 more source

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy

open access: yesJournal of Ultrasound in Medicine, EarlyView.
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

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

open access: yesJEADV Clinical Practice, EarlyView.
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

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
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

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