Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Kei-Hang Katie Chan"'
Autor:
Tsz-Kin Wan, Rui-Xuan Huang, Thomas Wetere Tulu, Jun-Dong Liu, Asmir Vodencarevic, Chi-Wah Wong, Kei-Hang Katie Chan
Publikováno v:
Life, Vol 12, Iss 4, p 547 (2022)
(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading respiratory disease. However, the factors influencing COVID-19 mortality still have not been confirmed. The pathogenesis of COVID-19 is unknown, and relevant mortali
Externí odkaz:
https://doaj.org/article/a014edd6b1b345408b8f30d87540ee0c
Autor:
Xia Zou, Junfei Zhao, Anping Feng, Kei Hang Katie Chan, Wen-Chih Wu, JoAnn E. Manson, Simin Liu, Jie Li
Publikováno v:
EClinicalMedicine, Vol 69, Iss , Pp 102458- (2024)
Summary: Background: Much remains unknown regarding the associations of adversities in childhood and adulthood with incident cardiovascular diseases (CVD). We aimed to examine the independent and cumulative relations of adversities in childhood and a
Externí odkaz:
https://doaj.org/article/f4f941a982c34390bba5d839328279fe
Publikováno v:
JMIR Research Protocols, Vol 13, p e47196 (2024)
BackgroundMild cognitive impairment (MCI) is the stage between cognitive decline due to physiological aging and the severity of decline seen in neurodegenerative disorders like Alzheimer disease (AD), which is among the most prevalent neurodegenerati
Externí odkaz:
https://doaj.org/article/c97b3ad275724303a4e983f90d06f3d8
Publikováno v:
Medicine Advances, Vol 1, Iss 1, Pp 44-52 (2023)
Abstract Background The sex‐specific associations between birth weight and the risk of chronic kidney disease (CKD) later in life remain controversial. This study aimed to examine the shape of the relationship between birth weight and the risk of C
Externí odkaz:
https://doaj.org/article/0784181c56614ef8ab443f6fb948ca4d
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
Autor:
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan
Publikováno v:
BMC Digital Health, Vol 1, Iss 1, Pp 1-14 (2023)
Abstract COVID-19 mortality prediction Background COVID-19 has become a major global public health problem, despite prevention and efforts. The daily number of COVID-19 cases rapidly increases, and the time and financial costs associated with testing
Externí odkaz:
https://doaj.org/article/29906a7f2e1440c293e810990b202394
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background Previous studies have demonstrated the value of re-analysing publicly available genetics data with recent analytical approaches. Publicly available datasets, such as the Women’s Health Initiative (WHI) offered by the database of
Externí odkaz:
https://doaj.org/article/36e4156dac27404c9379b62bdf5e50c9
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundThe incidence of complications of non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D) has been increasing.MethodIn order to identify the shared genetic architecture of the two disease phenotypes of NAFLD and T2D, a European
Externí odkaz:
https://doaj.org/article/69d9aec3e3f6417d80b75560dfdf2f8b
Autor:
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan
Publikováno v:
BMC Digital Health, Vol 1, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/e4581eef8ab548cf8e22f24af0d0a7a8
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Recent studies have shown that, compared with healthy individuals, patients with type 2 diabetes (T2D) suffer a higher severity and mortality of COVID-19. When infected with this retrovirus, patients with T2D are more likely to face severe complicati
Externí odkaz:
https://doaj.org/article/d627eb2cac9848abb516dfaa7b186130
Autor:
Jundong Liu, Elizabeth L Chou, Kui Kai Lau, Peter Yat Ming Woo, Tsz Kin Wan, Ruixuan Huang, Kei Hang Katie Chan
Publikováno v:
HGG Advances, Vol 3, Iss 4, Pp 100135- (2022)
Summary: Red blood cell distribution width (RCDW) and mean corpuscular volume (MCV) are associated with different risk factors for hemorrhagic stroke. However, whether RCDW and MCV are causally related to hemorrhagic stroke remains poorly understood.
Externí odkaz:
https://doaj.org/article/b2b2481f66d441edb34ab85052480a51