Results 171 to 180 of about 1,312,358 (341)

High Humidity Exacerbates Psoriasiform Skin Disease Relapse by Increasing Tissue‐Resident Memory T Cells via Altering Skin Microbiota

open access: yesAdvanced Science, EarlyView.
We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang   +10 more
wiley   +1 more source

Natural Language Processing, Medical Terminologies, and Ontological Issues for Patient Records and Biomedical Knowledge

open access: hybrid, 2001
Robert Baud   +5 more
openalex   +1 more source

Piezo2 Mediates a Vicious Cycle of “Mechanical Homeostasis Imbalance—Inflammation” in Sensory Nerves and the Cartilage Endplate

open access: yesAdvanced Science, EarlyView.
In a lumbar spine instability model, dorsal root ganglion cells mediate the perception of relevant mechanical stresses through Piezo2 and subsequently release CGRP. CGRP activates the NF‐κB signaling pathway in cartilage endplate cells through the receptor RAMP1.
Hanpeng Xu   +16 more
wiley   +1 more source

Using Natural Language Processing to Improve Fall Documentation in VA Nursing Home Residents. [PDF]

open access: yesJ Am Med Dir Assoc
Graham LA   +9 more
europepmc   +1 more source

How Neuromorphic Microstructures Control In Vitro Early‐Stage Neuronal Outgrowth

open access: yesAdvanced Science, EarlyView.
Biomimetic approach to neuronal interaction with neuromorphic microstructures. ABSTRACT Neuromorphic biomaterials represent a novel class of materials designed to replicate the architecture and functionality of neuronal structures, offering new opportunities in tissue engineering and bioelectronics.
Claudia Latte Bovio   +5 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

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