AIMC Topic: Keratinocytes

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Dermatologist-level classification of skin cancer with deep neural networks.

Nature
Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of ski...

Cellular level robotic surgery: Nanodissection of intermediate filaments in live keratinocytes.

Nanomedicine : nanotechnology, biology, and medicine
We present the nanosurgery on the cytoskeleton of live cells using AFM based nanorobotics to achieve adhesiolysis and mimic the effect of pathophysiological modulation of intercellular adhesion. Nanosurgery successfully severs the intermediate filame...

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
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...

[Protection effect of baicalin-regulated IKKα on inflammatory reaction of human oral keratinocytes].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
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.

The anti-ageing effects of a natural peptide discovered by artificial intelligence.

International journal of cosmetic science
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...

Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology
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.