Results 151 to 160 of about 4,161 (262)
Revision of the genus Ninomimus Lindberg, 1934 (Hemiptera, Lygaeoidea, Ninidae), with the description of a new species from China. [PDF]
Gao C, Cao S.
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Surveillance of hoof disorders in Korean dairy cattle and the correlation of farm condition risk factors to their prevalence. [PDF]
Espiritu HM, Kwon SW, Lee SS, Cho YI.
europepmc +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
An elastic segment of the whisker shaft enables coding of the whisking phase via whisker torsion in rats and mice. [PDF]
Haidarliu S +4 more
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
First record of silk-loving genus <i>Embiophila</i> (Hemiptera, Heteroptera, Plokiophilidae) from Asia, with description of a new species from China. [PDF]
Xiong H, Chen Z, Li H, Cai W.
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Glomuvenous Malformations. [PDF]
Stock F, Krüger S, Lodde G.
europepmc +1 more source
We present a novel AI‐integrated implantation‐on‐chip platform that enables mimicking and monitoring the maternal–fetal interactions at the early phases of human embryo implantation with high spatiotemporal resolution. The complexity of the trophoblast invasion process was addressed by conducting the analysis at global (rate of invasion) and local ...
Joanna Filippi +12 more
wiley +1 more source

