Results 61 to 70 of about 139 (139)
xx xx. ABSTRACT Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by disrupted neuronal circuit maturation. Emerging evidence implicates microglial function and mitochondrial regulation as contributors to ASD‐associated biology, yet the mechanisms linking these processes to neuronal development remain poorly defined ...
Sydney P. Sterben +4 more
wiley +1 more source
Содржина, ноември - декември, 1995, волумен 2, број 19
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информатика, МЕДИС -
core
Ectodermal tissue excised from Xenopus embryos self‐organizes into a three‐dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells. Neurobots develop mature neurons, adopt distinct morphologies, exhibit more complex motility, and respond differentially to neuroactive compounds. Imaging
Haleh Fotowat +6 more
wiley +1 more source
ПовеќенаменÑки комуникатор
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информатика, МЕДИС -
core
Pathogenic Role of FGFR3 Autoantibodies in Small Fiber Neuropathy
Autoantibodies against fibroblast growth factor receptor 3 (FGFR3) are identified as pathogenic drivers of pain in small fiber neuropathy. By binding to sensory neurons in dorsal root ganglia, FGFR3 autoantibodies activate MAPK signaling and induce hyperexcitability and mechanical hypersensitivity, establishing FGFR3 autoantibodies as a therapeutic ...
Lyuba Y. Salih +12 more
wiley +1 more source
Продолжува здружувањето на големите
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информатика, МЕДИС -
core
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber +12 more
wiley +1 more source
PCI Mac го подигнува нивото на преформанÑи
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информатика, МЕДИС -
core
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

