AIMC Topic: Keratinocytes

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3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society Jan 1, 2025
Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes for translational research. The great interest in creating skin substitutes still faces challenges considering its structural and cellular complexity...
Printing, Three-Dimensional Regeneration Fibroblasts Tissue Engineering Skin, Artificial Bioprinting Keratinocytes Humans Wound Healing Animals
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[Protection effect of baicalin-regulated IKKα on inflammatory reaction of human oral keratinocytes].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2021
PURPOSE: To observe the regulation of baicalin on IKKα mediated MASPIN in Human oral keratinocytes (HOKs) inflammatory reaction, this study was to explore the molecular regulation mechanism of baicalin on oral mucosal inflammation.
Flavonoids Keratinocytes I-kappa B Kinase Inflammation Lipopolysaccharides Humans
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The anti-ageing effects of a natural peptide discovered by artificial intelligence.

International journal of cosmetic science Aug 1, 2020
OBJECTIVE: As skin ages, impaired extracellular matrix (ECM) protein synthesis and increased action of degradative enzymes manifest as atrophy, wrinkling and laxity. There is mounting evidence for the functional role of exogenous peptides across many...
Cell Proliferation Cell Movement Pilot Projects Keratinocytes Plant Proteins Cosmetics Humans Double-Blind Method Female Middle Aged Cells, Cultured Deep Learning Peptides Aged Aging Reproducibility of Results Pisum sativum Extracellular Matrix Proteins Placebos Proof of Concept Study
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Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology Jan 1, 2020
IMPORTANCE: Detection of cutaneous cancer on the face using deep-learning algorithms has been challenging because various anatomic structures create curves and shades that confuse the algorithm and can potentially lead to false-positive results.
ROC Curve Skin Image Processing, Computer-Assisted Male Middle Aged Adult Photography Datasets as Topic Face Keratinocytes Neural Networks, Computer Female Humans Carcinoma, Squamous Cell Aged Carcinoma, Basal Cell Skin Neoplasms
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