AIMC Topic: Keratins

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Controlled surface morphology and hydrophilicity of polycaprolactone toward human retinal pigment epithelium cells.

Materials science & engineering. C, Materials for biological applications Nov 24, 2016
Applying scaffolds as a bed to enhance cell proliferation and even differentiation is one of the treatment of retina diseases such as age-related macular degeneration (AMD) which deteriorating photoreceptors and finally happening blindness. In this s...
Humans Infant, Newborn Water Porosity Microscopy, Fluorescence Biocompatible Materials Hydrolysis Hydrophobic and Hydrophilic Interactions Polyesters Immunohistochemistry Surface Properties Tissue Scaffolds Nanofibers Cell Adhesion Retinal Pigment Epithelium Cell Shape Chloroform Keratins
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Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.

The Journal of clinical endocrinology and metabolism Jun 16, 2021
CONTEXT: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly.
Humans Machine Learning Biomarkers Female Aged Young Adult Adult Male Middle Aged Human Growth Hormone Insulin-Like Growth Factor I Logistic Models Treatment Outcome Predictive Value of Tests Drug Monitoring Ligands Acromegaly Keratins Clinical Decision Rules Receptors, Somatostatin
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