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3.15. Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

J Yu , Y Deng , T Liu , J Zhou , X Jia , T Xiao , S Zhou , J Li , Y Guo , Y Wang , J Zhou , C Chang

Nat Commun. 2020;11:4807. doi: 10.1038/s41467-020-18497-3.This interesting paper illustrates the potential of machine learning to improve the sensitivity and specificity of routine techniques in clinical practice if large cohorts for training and validation of models are used. Yu et al. present a transfer learning model (machine learning approach to solve research problems by r...

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ey0020.8-12 | New Mechanisms | ESPEYB20

8.12. ZnT8 loss-of-function accelerates functional maturation of hESC-derived beta cells and resists metabolic stress in diabetes

Q Ma , Y Xiao , W Xu , M Wang , S Li , Z Yang , M Xu , T Zhang , ZN Zhang , R Hu , Q Su , F Yuan , T Xiao , X Wang , Q He , J Zhao , ZJ Chen , Z Sheng , M Chai , H Wang , W Shi , Q Deng , X Cheng , W Li

Brief summary: In this experimental study, genome editing and in vitro pancreatic differentiation of human pluripotent stem cells (SC) were used to generate ZNT8 loss-of-function (LOF) SC-β-cells. These cells showed accelerated functional maturation, increased insulin secretion and improved resistance to metabolic stress. Transplantation of ZnT8 LOF SC-β-cells into mice with preexisting diabetes significantly improved their glucose levels.<...

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ESPE Yearbook of Paediatric Endocrinology

3.15. Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

8.12. ZnT8 loss-of-function accelerates functional maturation of hESC-derived beta cells and resists metabolic stress in diabetes

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