Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Jili Chen"'
Autor:
Junchi Ma, Jili Chen, Qing Zhang, Yumei Dong, Zhihua Li, Junqiu Xie, Dongmei Yang, Lequn Zhou, Dahao Yan, Bo Zhou, Tao Liu
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionThere is a close and complex interaction between the elements in the aboveground-underground ecosystem during the growth and development of plants. Specifically, when the aboveground part of plants is infected by pathogens, it induces the
Externí odkaz:
https://doaj.org/article/e6a7885d5e264bc78639ec8bfde97aac
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Purpose This study aims to elucidate the biological functions of ferroptosis-related genes in periodontitis, along with their correlation to tumor microenvironment (TME) features such as immune infiltration. It aims to provide potential diag
Externí odkaz:
https://doaj.org/article/e91979942dc74ed0869c26afa13a1cb5
Autor:
Qionghao Huang, Jili Chen
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract Educational big data significantly impacts education, and Massive Open Online Courses (MOOCs), a crucial learning approach, have evolved to be more intelligent with these technologies. Deep neural networks have significantly advanced the cru
Externí odkaz:
https://doaj.org/article/fb289fffb2a34d9d8c1c80c1f9506b18
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25459- (2024)
Glucose is a sugar crucial for human health since it participates in many biochemical reactions. It produces adenosine 5′-triphosphate (ATP) and nucleosides through glucose metabolic and pentose phosphate pathways. These processes require many tran
Externí odkaz:
https://doaj.org/article/bd8b2225dca547c3bebb9ff661658f72
Autor:
Rui Liu, Qingchen Li, Feiping Xu, Shasha Wang, Jie He, Yiting Cao, Fei Shi, Xinjian Chen, Jili Chen
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-11 (2022)
Abstract Background To assess the feasibility and clinical utility of artificial intelligence (AI)-based screening for diabetic retinopathy (DR) and macular edema (ME) by combining fundus photos and optical coherence tomography (OCT) images in a comm
Externí odkaz:
https://doaj.org/article/9954cd3eb64c44b1b79dccfaf07e8409
Autor:
Matheswaran Kandasamy, Uzi Gileadi, Pramila Rijal, Tiong Kit Tan, Lian N Lee, Jili Chen, Gennaro Prota, Paul Klenerman, Alain Townsend, Vincenzo Cerundolo
Publikováno v:
eLife, Vol 12 (2023)
Virus-based tumour vaccines offer many advantages compared to other antigen-delivering systems. They generate concerted innate and adaptive immune response, and robust CD8+ T cell responses. We engineered a non-replicating pseudotyped influenza virus
Externí odkaz:
https://doaj.org/article/19381c4da57642bb86445baca9176ae3
Autor:
Zhuyun Qian, Xiaoling Xie, Jianlong Yang, Hongfei Ye, Zhilei Wang, Jili Chen, Hui Liu, Jianheng Liang, Lihong Jiang, Ce Zheng, Xu Chen
Publikováno v:
BMC Ophthalmology, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background The purpose of this study was to implement and evaluate a deep learning (DL) approach for automatically detecting shallow anterior chamber depth (ACD) from two-dimensional (2D) overview anterior segment photographs. Methods We tra
Externí odkaz:
https://doaj.org/article/4e5a8ddd8d0241419e800fb636850246
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Talaromyces amestolkiae is an important fungal species owing to its ubiquity in soils, plants, air, and food. In this study, we identified a novel six-segmented polymycovirus, Talaromyces amestolkiae polymycovirus 1 (TaPmV-1). Each of the double-stra
Externí odkaz:
https://doaj.org/article/8eb28750063f438f8580ab717ed6bd12
Autor:
Ce Zheng, Xiaolin Xie, Zhilei Wang, Wen Li, Jili Chen, Tong Qiao, Zhuyun Qian, Hui Liu, Jianheng Liang, Xu Chen
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract This paper aimed to develop and validate a deep learning (DL) model for automated detection of the laterality of the eye on anterior segment photographs. Anterior segment photographs for training a DL model were collected with the Scheimpflu
Externí odkaz:
https://doaj.org/article/cfd6912bb3f04ba8b58082b820d72c02
Publikováno v:
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-5 (2019)
Abstract Background Ocular fundus angiography is an indispensable component of the tests utilized for fundus diseases. Dynamic angiography results can provide additional information; however, many difficulties remain. In this study, we introduce a mo
Externí odkaz:
https://doaj.org/article/3b761eb4a94140b0b39ff4d1ae74c9a0