Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yueqing Liang"'
Autor:
Ping Li, Yang Wang, Yueqing Liang, Xueyi Jiang, Tiantian Tang, Xiuqin Fan, Rui Wang, Mengyi Yang, Yuanlin Liu, Kemin Qi, Yi Zhang
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Background Obesity is characterized by excessive fat accumulation, which is related with abnormal pluripotency of mesenchymal stem cells (MSCs). Recently, there is growing evidence that the disorder of maternal vitamin D (VD) intake is a wel
Externí odkaz:
https://doaj.org/article/b7720220f5ac4295915e0189a259458b
Autor:
Xiaru Zhang, Ying Zheng, Gang Wang, Yuanlin Liu, Yang Wang, Xueyi Jiang, Yueqing Liang, Xinfeng Zhao, Ping Li, Yi Zhang
Publikováno v:
Stem Cells International, Vol 2024 (2024)
Objective. Our previous study found that it could significantly increase the expression of IL32 after stimulating the human umbilical cord mesenchymal stem cells (S-HuMSCs). However, its role on the osteogenesis and cranial bone regeneration is still
Externí odkaz:
https://doaj.org/article/f3deabe0f51d43e892334cd7e353896d
Publikováno v:
Frontiers in Big Data, Vol 5 (2023)
Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems. However, studies have shown critical issues of ML discrimination and unfairness, which hinder their adoption on high-stake applicati
Externí odkaz:
https://doaj.org/article/30ddded9cbcf4753bbdd1f117de1280d
Autor:
Zhaobo Li, Xinzui Wang, Weidong Shen, Shiming Yang, David Y. Zhao, Jimin Hu, Dawei Wang, Juan Liu, Haibing Xin, Yalun Zhang, Pengfei Li, Bing Zhang, Houyong Cai, Yueqing Liang, Xihua Li
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
Purpose: Tinnitus is a common but obscure auditory disease to be studied. This study will determine whether the connectivity features in electroencephalography (EEG) signals can be used as the biomarkers for an efficient and fast diagnosis method for
Externí odkaz:
https://doaj.org/article/ba40f376aba14d1f844e687dc3c3349f
Publikováno v:
Algorithms, Vol 15, Iss 9, p 299 (2022)
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms
Externí odkaz:
https://doaj.org/article/a4be08bca6b2462f97c02b61e5c22100
Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems. However, studies have shown critical issues of ML discrimination and unfairness, which hinder their adoption on high-stake applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e5b7be7b6feebde68038b2ff8423106
http://arxiv.org/abs/2206.03656
http://arxiv.org/abs/2206.03656