This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrog...This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrogating the patient electronic health record toward improved clinical decision support is discussed. Weexamine developments in pharmacogenetics that have increased our appreciation of the reasons why patients respond differently to chemotherapy. We also assess the expansion of online health communications and the way in which this data may be capitalized on in order to detect public health threats and control or contain epidemics. Finally, we describe how a new generation of wearable and implantable body sensors may improve wellbeing, streamline management of chronic diseases, and improve the quality of surgical implants.展开更多
Drug delivery to the brain is crucial in the treatment for central nervous system disorders.While significant progress has been made in recent years,there are still major challenges in achieving controllable drug deli...Drug delivery to the brain is crucial in the treatment for central nervous system disorders.While significant progress has been made in recent years,there are still major challenges in achieving controllable drug delivery to the brain.Unmet clinical needs arise from various factors,including controlled drug transport,handling large drug doses,methods for crossing biological barriers,the use of imaging guidance,and effective models for analyzing drug delivery.Recent advances in micro/nanosystems have shown promise in addressing some of these challenges.These include the utilization of microfluidic platforms to test and validate the drug delivery process in a controlled and biomimetic setting,the development of novel micro/nanocarriers for large drug loads across the blood-brain barrier,and the implementation of micro-intervention systems for delivering drugs through intraparenchymal or peripheral routes.In this article,we present a review of the latest developments in micro/nanosystems for controllable drug delivery to the brain.We also delve into the relevant diseases,biological barriers,and conventional methods.In addition,we discuss future prospects and the development of emerging robotic micro/nanosystems equipped with directed transportation,real-time image guidance,and closed-loop control.展开更多
Artificial intelligence(AI)is gradually changing the practice of surgery with technological advancements in imaging,navigation,and robotic intervention.In this article,we review the recent successful and influential a...Artificial intelligence(AI)is gradually changing the practice of surgery with technological advancements in imaging,navigation,and robotic intervention.In this article,we review the recent successful and influential applications of AI in surgery from preoperative planning and intraoperative guidance to its integration into surgical robots.We conclude this review by summarizing the current state,emerging trends,and major challenges in the future development of AI in surgery.展开更多
Multiple myeloma(MM)is a plasmocytic malignancy which accounts for approximately 10%of all hematologic malignancies.In 2016,over 16,500 new cases were diagnosed in China,and approximately 10,300 patients died of the d...Multiple myeloma(MM)is a plasmocytic malignancy which accounts for approximately 10%of all hematologic malignancies.In 2016,over 16,500 new cases were diagnosed in China,and approximately 10,300 patients died of the disease.[1]In novel-agent era,some patients had a poor prognosis with a median overall survival(OS)of<2 years although they received the therapy regimen containing novel agents and autologous peripheral blood stem cell transplantation(APBSCT)as front-line therapy.Stratification for Myeloma and Risk-Adapted Therapy 3.0(mSMART 3.0)from Mayo Clinic is a risk-stratification guideline revised in 2020.[2]This risk-stratification guideline proposed a novel point of view as having two of the above genetic abnormalities to be named as doublehit MM and having any three or more as triple-hit MM.展开更多
With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based...With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart spaces.Motivated by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces.We discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.展开更多
文摘This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrogating the patient electronic health record toward improved clinical decision support is discussed. Weexamine developments in pharmacogenetics that have increased our appreciation of the reasons why patients respond differently to chemotherapy. We also assess the expansion of online health communications and the way in which this data may be capitalized on in order to detect public health threats and control or contain epidemics. Finally, we describe how a new generation of wearable and implantable body sensors may improve wellbeing, streamline management of chronic diseases, and improve the quality of surgical implants.
基金The work is supported by Shanghai Municipal Science and Technology Major Project(grant no.2021SHZDZX)the Science and Technology Commission of Shanghai Municipality(grant no.20DZ2220400)the Shanghai Pilot Program for Basic Research Shanghai Jiao Tong University(grant no.21TQ1400203).The authors acknowledge support from the Center for Hospital Automation and High Throughput Robotics,Institute of Medical Robotics,School of Biomedical Engineering,Shanghai Jiao Tong University.The authors acknowledge Ziyi Zhang for her help preparing the schematics.
文摘Drug delivery to the brain is crucial in the treatment for central nervous system disorders.While significant progress has been made in recent years,there are still major challenges in achieving controllable drug delivery to the brain.Unmet clinical needs arise from various factors,including controlled drug transport,handling large drug doses,methods for crossing biological barriers,the use of imaging guidance,and effective models for analyzing drug delivery.Recent advances in micro/nanosystems have shown promise in addressing some of these challenges.These include the utilization of microfluidic platforms to test and validate the drug delivery process in a controlled and biomimetic setting,the development of novel micro/nanocarriers for large drug loads across the blood-brain barrier,and the implementation of micro-intervention systems for delivering drugs through intraparenchymal or peripheral routes.In this article,we present a review of the latest developments in micro/nanosystems for controllable drug delivery to the brain.We also delve into the relevant diseases,biological barriers,and conventional methods.In addition,we discuss future prospects and the development of emerging robotic micro/nanosystems equipped with directed transportation,real-time image guidance,and closed-loop control.
文摘Artificial intelligence(AI)is gradually changing the practice of surgery with technological advancements in imaging,navigation,and robotic intervention.In this article,we review the recent successful and influential applications of AI in surgery from preoperative planning and intraoperative guidance to its integration into surgical robots.We conclude this review by summarizing the current state,emerging trends,and major challenges in the future development of AI in surgery.
基金the Major Special Project of the Ministry of Science and Technology in China(No.2018ZX09733003)Beijing Hospital Authority“Dengfeng”Talent Training Program(No.DFL20180301).
文摘Multiple myeloma(MM)is a plasmocytic malignancy which accounts for approximately 10%of all hematologic malignancies.In 2016,over 16,500 new cases were diagnosed in China,and approximately 10,300 patients died of the disease.[1]In novel-agent era,some patients had a poor prognosis with a median overall survival(OS)of<2 years although they received the therapy regimen containing novel agents and autologous peripheral blood stem cell transplantation(APBSCT)as front-line therapy.Stratification for Myeloma and Risk-Adapted Therapy 3.0(mSMART 3.0)from Mayo Clinic is a risk-stratification guideline revised in 2020.[2]This risk-stratification guideline proposed a novel point of view as having two of the above genetic abnormalities to be named as doublehit MM and having any three or more as triple-hit MM.
基金support fromtheNational Natural Science Foundation of China(grant no.62276109).I.H.acknowledges the financial support from the Slovenian Research Agency(research core funding no.P2-0246).
文摘With the advent of the Internet of Everything,people can easily interact with their environments immersively.The idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart spaces.Motivated by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces.We discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.
