Results 171 to 180 of about 12,982 (196)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ABSTRACT Background Chronic rhinosinusitis with nasal polyp (CRSwNP) is a heterogeneous Type 2 inflammatory disease characterized by enhanced eosinophilic infiltration. Both innate and adaptive immunity are involved in the onset and progression of CRSwNP.
Yuki Sonoda +4 more
wiley +1 more source
Transcriptome sequencing identified secreted phosphoprotein 1 (SPP1) as a crucial target through which methylophiopogonanone A (MOA) ameliorates pulmonary fibrosis. Molecular docking and microscale thermophoresis (MST) assays confirmed a favorable binding affinity between MOA and SPP1.
Fan Yang +10 more
wiley +1 more source
Scalp electroacupuncture (SA) through activation of the trigeminal pathway exerts anti‐inflammatory, antidepressant, and anxiolytic effects in an animal model of post‐traumatic stress disorder induced by single prolonged stress. This suggests that SA is involved in neuroinflammation and changes in brain‐derived neurotrophic factor protein through the ...
Bombi Lee +3 more
wiley +1 more source
This graphical abstract summarizes our study in which we established a novel murine model of antineutrophil cytoplasmic antibody (ANCA)‐associated vasculitis. Neutrophil recruitment was induced using thioglycolate, followed by timed administration of propylthiouracil and phorbol 12‐myristate 13‐acetate to generate DNase I‐resistant neutrophil ...
Sakiko Masuda +9 more
wiley +1 more source
Adenostemma lavenia, a traditionally used medicinal plant, has been employed to manage pain, inflammation, and circulatory issues. This study investigates the analgesic, anti‐inflammatory, and thrombolytic potentials of the acetone extract of A. lavenia leaves (AEAL) using in vivo, in vitro, and in silico methods.
Nusrat Jahan Moon +10 more
wiley +1 more source
Objective Lactate is increasingly recognized as an energy substrate, but its relevance to amyotrophic lateral sclerosis (ALS) remains unclear. We examined whether blood lactate is associated with survival and weight loss in ALS. Methods This retrospective study included an Australian exploratory cohort and a Japanese validation cohort with clinical ...
Ryutaro Nakamura +8 more
wiley +1 more source

