|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Corrigendum to 'Dark tea: A popular beverage with possible medicinal application' [Chinese Herbal Medicines 15 (2023) 33-36]显示文摘When this paper was first published,the authors'name Miamoiao Lea was incomplete.The corrected author name has been shown above.The authors would like to apologise for any inconvenience caused. | Hongjing Pan Miaomiao Le Chunnian He Chung S.Yang Tiejun Ling | 2023 | Chinese Herbal Medicines2023，15，4： | 0 |
| 2 | Dark tea: A popular beverage with possible medicinal application显示文摘Tea is a famous beverage that is produced from leaves of Camellia sinensis.Amongst the six major tea categories in China,dark tea is the only one that involves microbial fermentation in the manufacturing process,which contributes unique flavors and functions for the tea.In the recent decade,the reports about the biofunctions of dark teas have increased rapidly.Therefore it may be the proper time to consider dark tea as one potential homology of medicine and food.In this viewpoint,our current understanding of the chemical constituents,biological activities and possible health beneficial effects of dark teas were introduced.Some future directions and challenges to the development perspectives of dark teas were also discussed. | Hongjing Pan Miamoiao Le Chunnian He Chung S.Yang Tiejun Ling | 2023 | Chinese Herbal Medicines2023，15，1： | 0 |
| 3 | Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile显示文摘Background.New York City(NYC)experienced an initial surge and gradual decline in the number of SARS-CoV-2-confirmed cases in 2020.A change in the pattern of laboratory test results in COVID-19 patients over this time has not been reported or correlated with patient outcome.Methods.We performed a retrospective study of routine laboratory and SARS-CoV-2 RT-PCR test results from 5,785 patients evaluated in a NYC hospital emergency department from March to June employing machine learning analysis.Results.A COVID-19 high-risk laboratory test result profile(COVID19-HRP),consisting of 21 routine blood tests,was identified to characterize the SARS-CoV-2 patients.Approximately half of the SARS-CoV-2 positive patients had the distinct COVID19-HRP that separated them from SARS-CoV-2 negative patients.SARS-CoV-2 patients with the COVID19-HRP had higher SARS-CoV-2 viral loads,determined by cycle threshold values from the RT-PCR,and poorer clinical outcome compared to other positive patients without the COVID12-HRP.Furthermore,the percentage of SARS-CoV-2 patients with the COVID19-HRP has significantly decreased from March/April to May/June.Notably,viral load in the SARS-CoV-2 patients declined,and their laboratory profile became less distinguishable from SARS-CoV-2 negative patients in the later phase.Conclusions.Our longitudinal analysis illustrates the temporal change of laboratory test result profile in SARS-CoV-2 patients and the COVID-19 evolvement in a US epicenter.This analysis could become an important tool in COVID-19 population disease severity tracking and prediction.In addition,this analysis may play an important role in prioritizing high-risk patients,assisting in patient triaging and optimizing the usage of resources. | He S.Yang Yu Hou Hao Zhang Amy Chadburn Lars F.Westblade Richard Fedeli Peter A.DSteel Sabrina E.Racine-Brzostek Priya Velu Jorge L.Sepulveda Michael J.Satlin Melissa M.Cushing Rainu Kaushal Zhen Zhao Fei Wang | 2021 | Health Data Science2021，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员