Obstructive jaundice is a common clinical symptom generally caused by bile duct stones,inflammatory hyperplasia,and tumors.It is characterized by hyperbilirubinemia and may trigger a variety of complications such as h...Obstructive jaundice is a common clinical symptom generally caused by bile duct stones,inflammatory hyperplasia,and tumors.It is characterized by hyperbilirubinemia and may trigger a variety of complications such as hypotension,kidney injury,endotoxemia,multiple organ dysfunction syndrome,and even death(Pavlidis and Pavlidis,2018;Liu et al.,2021).Relieving bile duct obstruction and providing adequate drainage have been considered as the most effective therapies for obstructive jaundice.However,it has not yet been established whether it is beneficial to treat affected patients by pre-operative biliary drainage(Blacker et al.,2021).Moreover,the pathophysiological changes or mechanisms associated with the reversal of organ function following the relief of bile-duct obstruction are unclear(Huang et al.,2004).Therefore,it is necessary to establish an experimental model of reversible obstructive jaundice to simulate biliary drainage in clinical practice.展开更多
In recent years,the incidence of myopia has increased at an alarming rate among children and adolescents in China.The exploration of an effective prevention and control method for myopia is in urgent need.With the dev...In recent years,the incidence of myopia has increased at an alarming rate among children and adolescents in China.The exploration of an effective prevention and control method for myopia is in urgent need.With the development of information technology in the past decade,artificial intelligence with the Internet of Things technology(AIoT)is characterized by strong computing power,advanced algorithm,continuous monitoring,and accurate prediction of long-term progression.Therefore,big data and artificial intelligence technology have the potential to be applied to data mining of myopia etiology and prediction of myopia occurrence and development.More recently,there has been a growing recognition that myopia study involving AIoT needs to undergo a rigorous evaluation to demonstrate robust results.展开更多
基金National Natural Science Foundation of China(Nos.51803153 and 81970548)Wuhan Science and Technology Project(No.2019020701011485)+1 种基金Medical Science Advancement Program(Clinical Medicine)of Wuhan University(No.TFLC 2018003)Zhongnan Hospital of Wuhan University Science,Technology,and Innovation Seed Fund(No.CXPY2020049),China.
文摘Obstructive jaundice is a common clinical symptom generally caused by bile duct stones,inflammatory hyperplasia,and tumors.It is characterized by hyperbilirubinemia and may trigger a variety of complications such as hypotension,kidney injury,endotoxemia,multiple organ dysfunction syndrome,and even death(Pavlidis and Pavlidis,2018;Liu et al.,2021).Relieving bile duct obstruction and providing adequate drainage have been considered as the most effective therapies for obstructive jaundice.However,it has not yet been established whether it is beneficial to treat affected patients by pre-operative biliary drainage(Blacker et al.,2021).Moreover,the pathophysiological changes or mechanisms associated with the reversal of organ function following the relief of bile-duct obstruction are unclear(Huang et al.,2004).Therefore,it is necessary to establish an experimental model of reversible obstructive jaundice to simulate biliary drainage in clinical practice.
基金The Science and Technology Planning Projects of Guangdong Province(Grant No.2018B010109008)National Key R&D Program of China(Grant No.2018YFC0116500).
文摘In recent years,the incidence of myopia has increased at an alarming rate among children and adolescents in China.The exploration of an effective prevention and control method for myopia is in urgent need.With the development of information technology in the past decade,artificial intelligence with the Internet of Things technology(AIoT)is characterized by strong computing power,advanced algorithm,continuous monitoring,and accurate prediction of long-term progression.Therefore,big data and artificial intelligence technology have the potential to be applied to data mining of myopia etiology and prediction of myopia occurrence and development.More recently,there has been a growing recognition that myopia study involving AIoT needs to undergo a rigorous evaluation to demonstrate robust results.
