Zobrazeno 1 - 10
of 65
pro vyhledávání: '"PEI, PANG"'
Publikováno v:
PeerJ, Vol 12, p e16758 (2024)
Background Meteorological factors play an important role in human health. Clarifying the occurrence of dog and cat bites (DCBs) under different meteorological conditions can provide key insights into the prevention of DCBs. Therefore, the objective o
Externí odkaz:
https://doaj.org/article/98947de261044765a2b3cdf6bd39d491
Publikováno v:
Mānoa, 2020 Jan 01. 32(1), 186-187.
Externí odkaz:
https://www.jstor.org/stable/27141792
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Mitochondrial fission regulator 2 (MTFR2) belongs to the MTFR1 family, which plays a crucial role in regulating oxidative phosphorylation. Recent studies indicate that it also participates in cancer carcinogenesis and development; however, the clinic
Externí odkaz:
https://doaj.org/article/7a2142471e8a44d38cceae5f2f3ec294
Publikováno v:
Therapeutic Advances in Neurological Disorders, Vol 14 (2021)
Objective: This study aimed to build and validate a radiomics-integrated model with whole-brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive impairment (MCI) to Alzheimer’s disease (AD). Methods: 357 patients with M
Externí odkaz:
https://doaj.org/article/776d22f90afc403c8b300a246784b9b9
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Lung cancer is the leading cause of cancer-related deaths worldwide. Despite significant advances in cancer research and treatment, the overall prognosis of lung cancer patients remains poor. Therefore, the identification for novel therapeutic target
Externí odkaz:
https://doaj.org/article/e9e4b91db20d4009af2d079a4b289631
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Objective: To construct and validate a nomogram model integrating the magnetic resonance imaging (MRI) radiomic features and the kinetic curve pattern for detecting metastatic axillary lymph node (ALN) in invasive breast cancer preoperatively. Materi
Externí odkaz:
https://doaj.org/article/47ca8aad827440a2bf2dc1a7bc7fe78d
Autor:
Houze Zhu, Huanhuan Yan, Na Tang, Xinyan Li, Pei Pang, Hao Li, Wenting Chen, Yu Guo, Shu Shu, You Cai, Lei Pei, Dan Liu, Min-Hua Luo, Hengye Man, Qing Tian, Yangling Mu, Ling-Qiang Zhu, Youming Lu
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)
Cholinergic neurons in the diagonal band of Broca degenerate early in Alzheimer’s disease. Here the authors show that in healthy mice, these cholinergic inputs innervate newborn neurons in the hippocampus, and that loss of this innervation in an Al
Externí odkaz:
https://doaj.org/article/4700eda4343f4ed69de872b644ee5744
Autor:
You Cai, Yufen Zhang, Xiao Ke, Yu Guo, Chengye Yao, Na Tang, Pei Pang, Gangcai Xie, Li Fang, Zhe Zhang, Jincheng Li, Yixian Fan, Ximiao He, Ruojian Wen, Lei Pei, Youming Lu
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Ischemic stroke, which accounts for 87% of all strokes, constitutes the leading cause of morbidity and mortality in China. Although the genetics and epigenetics of stroke have been extensively investigated, few studies have examined their relationshi
Externí odkaz:
https://doaj.org/article/04c735fa234242b1976b5746e3a387ba
Publikováno v:
World Journal of Gastroenterology
Background Synchronous liver metastasis (SLM) is an indicator of poor prognosis for colorectal cancer (CRC). Nearly 50% of CRC patients develop hepatic metastasis, with 15%-25% of them presenting with SLM. The evaluation of SLM in CRC is crucial for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edb8c7388f5eefa83a7f293262255e4c
http://europepmc.org/articles/PMC8517787
http://europepmc.org/articles/PMC8517787
Publikováno v:
European Radiology. 32:1002-1013
To compare multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion (EMVI) in rectal cancer using different machine learning algorithms and to develop and validate the best diagnostic model. We retrospectively anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c4100b9b5e7285320fb4c63e146274
https://doi.org/10.1007/s00330-021-08242-9
https://doi.org/10.1007/s00330-021-08242-9