Results 251 to 260 of about 435,809 (335)

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Integrated Functional and scRNA-Seq Analyses Reveal Convergence of M-CSF- and GM-CSF-Derived Macrophages Following IL-27 Polarization. [PDF]

open access: yesCells
Imamichi T   +9 more
europepmc   +1 more source

PHAGOCYTOSIS

open access: yesCold Spring Harbor Symposia on Quantitative Biology, 1933
openaire   +1 more source

Establishment and multifaceted characterization of a graded spinal cord injury model based on graduated impact depth

open access: yesAnimal Models and Experimental Medicine, EarlyView.
We established a graded spinal cord injury (SCI) model based on graduated impact depth, which was subsequently characterized across multiple dimensions, including locomotor function, imaging, histology, and transcriptomic profiles. We further identified transcriptomic changes in graded SCI at different time points postinjury and investigated the ...
Gang Zhou   +6 more
wiley   +1 more source

CSF‐Compartmentalized Antibody Glycoprofiles in NMDAR Encephalitis Associate with Etiology and Functional Recovery

open access: yesAnnals of Neurology, EarlyView.
Objective To characterize Fc‐glycosylation profiles in patients with anti‐N‐methyl‐D‐aspartate receptor encephalitis (NMDARe) and assess their association with antibody compartmentalization (cerebrospinal fluid [CSF] vs serum), disease triggers (viral, tumor‐related or idiopathic), and 1‐year outcomes.
Laura Marmolejo   +16 more
wiley   +1 more source

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