AIMC Topic: Insulin-Like Growth Factor I

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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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6-Gingerol inhibits hair cycle via induction of MMP2 and MMP9 expression.

Anais da Academia Brasileira de Ciencias Jan 1, 2017
6-Gingerol is the major active constituent of ginger. In the current study, we aimed to investigate the mechanisms underlying the effects of 6-Gingerol on hair growth. Mice were randomly divided into five groups; after hair depilation (day 0), mice w...
Female Animals Male Mice Insulin-Like Growth Factor I Plant Extracts Mice, Inbred C57BL Transforming Growth Factor beta Matrix Metalloproteinase 9 Matrix Metalloproteinase 2 Vascular Endothelial Growth Factor A Catechols Random Allocation Fatty Alcohols Enzyme Induction Fibroblast Growth Factor 7 Hair Follicle
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