Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yaowen Gu"'
Study on tumour cell-derived hybrid exosomes as dasatinib nanocarriers for pancreatic cancer therapy
Autor:
Xiaofei Zhou, Yuetang Zhuang, Xiaohong Liu, Yaowen Gu, Junting Wang, Yuchen Shi, Li Zhang, Rui Li, Yelin Zhao, Hebing Chen, Jiao Li, Hongjuan Yao, Liang Li
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology, Vol 51, Iss 1, Pp 532-546 (2023)
AbstractPancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer-related death. Therefore, we intend to explore novel strategies against PDAC. The exosomes-based biomimetic nanoparticle is an appealing candidate served as a drug
Externí odkaz:
https://doaj.org/article/398b986dd7c84ee08bf60d529f47ce86
Publikováno v:
JMIR Formative Research, Vol 8, p e52170 (2024)
BackgroundChina’s older population is facing serious health challenges, including malnutrition and multiple chronic conditions. There is a critical need for tailored food recommendation systems. Knowledge graph–based food recommendations offer co
Externí odkaz:
https://doaj.org/article/03b2eb72a0fa434c8e23721ec4d4f3f1
Autor:
Min Yi, Yuebin Cao, Lin Wang, Yaowen Gu, Xueqian Zheng, Jiangjun Wang, Wei Chen, Liangyu Wei, Yujin Zhou, Chenyi Shi, Yanlin Cao
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e46854 (2023)
BackgroundMedical disputes are a global public health issue that is receiving increasing attention. However, studies investigating the relationship between hospital legal construction and medical disputes are scarce. The development of a multicenter
Externí odkaz:
https://doaj.org/article/50b4fc584670493d978111ff585556fe
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Introduction: Exploring the potential efficacy of a drug is a valid approach for drug development with shorter development times and lower costs. Recently, several computational drug repositioning methods have been introduced to learn multi-features
Externí odkaz:
https://doaj.org/article/0536d371463b469f93369cb83f1f4b4e
Publikováno v:
Molecules, Vol 28, Iss 16, p 5982 (2023)
Ligand-based virtual screening (LBVS) is a promising approach for rapid and low-cost screening of potentially bioactive molecules in the early stage of drug discovery. Compared with traditional similarity-based machine learning methods, deep learning
Externí odkaz:
https://doaj.org/article/05a6da4172b04a1796e73e5df53eb3e6
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Publikováno v:
Computers in biology and medicine. 150
Computational drug repositioning is an effective way to find new indications for existing drugs, thus can accelerate drug development and reduce experimental costs. Recently, various deep learning-based repurposing methods have been established to id
Stroke patients tend to suffer from immobility, which increases the possibility of post-stroke complications. Urinary tract infections (UTIs) are one of the complications as an independent predictor of poor prognosis of stroke patients. However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::170ee356f6a8eb8a1c348641a3f6fedf
https://doi.org/10.3233/shti220171
https://doi.org/10.3233/shti220171
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Publikováno v:
Briefings in bioinformatics. 23(3)
Computational methods have been widely applied to resolve various core issues in drug discovery, such as molecular property prediction. In recent years, a data-driven computational method-deep learning had achieved a number of impressive successes in