On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th Nation...On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th National Congress of the Communist Party of China,China has vigorously promoted the integration and implementation of the Healthy China and Digital China strategies.The National Health Commission has prioritized the development of health and medical big data,issuing policies to promote standardized applica-tions and foster innovation in"Internet+Healthcare."Biomedical data has significantly contributed to preci-sion medicine,personalized health management,drug development,disease diagnosis,public health monitor-ing,and epidemic prediction capabilities.展开更多
Data space,as an innovative data management and sharing model,is emerging in the medical and health sectors.This study expounds on the conceptual connotation of data space and delineates its key technologies,including...Data space,as an innovative data management and sharing model,is emerging in the medical and health sectors.This study expounds on the conceptual connotation of data space and delineates its key technologies,including distributed data storage,standardization and interoperability of data sharing,data security and privacy protection,data analysis and mining,and data space assessment.By analyzing the real-world cases of data spaces within medicine and health,this study compares the similarities and differences across various dimensions such as purpose,architecture,data interoperability,and privacy protection.Meanwhile,data spaces in these fields are challenged by the limited computing resources,the complexities of data integration,and the need for optimized algorithms.Additionally,legal and ethical issues such as unclear data ownership,undefined usage rights,risks associated with privacy protection need to be addressed.The study notes organizational and management difficulties,calling for enhancements in governance framework,data sharing mechanisms,and value assessment systems.In the future,technological innovation,sound regulations,and optimized management will help the development of the medical and health data space.These developments will enable the secure and efficient utilization of data,propelling the medical industry into an era characterized by precision,intelligence,and personalization.展开更多
Herpes simplex virus(HSV)types 1 and 2 pose significant health risks during pregnancy,impacting both maternal and neonatal outcomes.The 2024 joint guideline from the British Association for Sexual Health and HIV(BASHH...Herpes simplex virus(HSV)types 1 and 2 pose significant health risks during pregnancy,impacting both maternal and neonatal outcomes.The 2024 joint guideline from the British Association for Sexual Health and HIV(BASHH)and the Royal College of Obstetricians and Gynaecologists(RCOG)in the United Kingdom introduces updated recommendations to reduce maternal-to-neonatal transmission.Key recommendations include initiating antiviral therapy earlier—at 32 weeks for standard pregnancies or as early as 22 weeks in high-risk cases—to minimize viral shedding.The guideline emphasizes polymerase chain reaction(PCR)testing for accurate diagnosis and advocates a multidisciplinary team(MDT)approach,involving genitourinary medicine(GUM)specialists,obstetricians,and neonatologists for delivery planning and neonatal care.However,the Chinese guidelines offer greater flexibility in the timing of antiviral treatment,tailored to regional resources and specific circumstances.PCR testing is also recommended,particularly in urban hospitals and tertiary care settings.The UK′s MDT model aligns with China′s integrative healthcare approach,presenting opportunities for mutual learning and collaboration.This comparative analysis highlights areas for cross-adaptation in clinical practices,with potential to enhance maternal and neonatal health outcomes globally.展开更多
Objective Recent advancements in single-cell RNA sequencing(scRNA-seq)have revolutionized the study of cellular heterogeneity,particularly within the hematological system.However,accurately annotating cell types remai...Objective Recent advancements in single-cell RNA sequencing(scRNA-seq)have revolutionized the study of cellular heterogeneity,particularly within the hematological system.However,accurately annotating cell types remains challenging due to the complexity of immune cells.To address this challenge,we develop a PAN-blood single-cell Data Annotator(scPANDA),which leverages a comprehensive 10-million-cell atlas to provide precise cell type annotation.Methods The atlas,constructed from data collected in 16 studies,incorporated rigorous quality control,preprocessing,and integration steps to ensure a high-quality reference for annotation.scPANDA utilizes a three layer inference approach,progressively refining cell types from broad compartments to specific clusters.Iterative clustering and harmonization processes were employed to maintain cell type purity throughout the analysis.Furthermore,the performance of scPANDA was evaluated in three external datasets.Results The atlas was structured hierarchically,consisting of 16 compartments,54 classes,4,460 low-level clusters(pd_cc_cl_tfs),and 611 high-level clusters(pmid_cts).Robust performance of the tool was demonstrated in annotating diverse immune scRNA-seq datasets,analyzing immune-tumor coexisting clusters in renal cell carcinoma,and identifying conserved cell clusters across species.Conclusion scPANDA exemplifies effective reference mapping with a large-scale atlas,enhancing the accuracy and reliability of blood cell type identification.展开更多
Viral infectious diseases,characterized by their intricate nature and wide-ranging diversity,pose substantial challenges in the domain of data management.The vast volume of data generated by these diseases,spanning fr...Viral infectious diseases,characterized by their intricate nature and wide-ranging diversity,pose substantial challenges in the domain of data management.The vast volume of data generated by these diseases,spanning from the molecular mechanisms within cells to large-scale epidemiological patterns,has surpassed the capabilities of traditional analytical methods.In the era of artificial intelligence(AI)and big data,there is an urgent necessity for the optimization of these analytical methods to more effectively handle and utilize the information.Despite the rapid accumulation of data associated with viral infections,the lack of a comprehensive framework for integrating,selecting,and analyzing these datasets has left numerous researchers uncertain about which data to select,how to access it,and how to utilize it most effectively in their research.This review endeavors to fill these gaps by exploring the multifaceted nature of viral infectious diseases and summarizing relevant data across multiple levels,from the molecular details of pathogens to broad epidemiological trends.The scope extends from the micro-scale to the macro-scale,encompassing pathogens,hosts,and vectors.In addition to data summarization,this review thoroughly investigates various dataset sources.It also traces the historical evolution of data collection in the field of viral infectious diseases,highlighting the progress achieved over time.Simultaneously,it evaluates the current limitations that impede data utilization.Furthermore,we propose strategies to surmount these challenges,focusing on the development and application of advanced computational techniques,AI-driven models,and enhanced data integration practices.By providing a comprehensive synthesis of existing knowledge,this review is designed to guide future research and contribute to more informed approaches in the surveillance,prevention,and control of viral infectious diseases,particularly within the context of the expanding big-data landscape.展开更多
Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regul...Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regulatory challenges.The dynamic algorithm evolution undermines the consistency of assessment criteria,multimodal systems lack unified evaluation metrics,and conflicts persist between data sharing and privacy protection.To address these issues,the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies,formulated the country's first technical guideline for clinical evaluation,and validated their practicality through scenario-based pilot studies.Furthermore,this paper proposes introducing a"regulatory sandbox"model to test technical compliance in controlled environments,thereby balancing innovation incentives with risk governance.展开更多
Focusing on the reform initiatives of Chinese Academy of Medical Sciences(CAMS) & Peking Union Medical College(PUMC) in medical scientific and technological innovation from perspectives of deepening the reform and...Focusing on the reform initiatives of Chinese Academy of Medical Sciences(CAMS) & Peking Union Medical College(PUMC) in medical scientific and technological innovation from perspectives of deepening the reform and optimizing the ecosystem of science and technology innovation,this article summarizes the highlights of CAMS & PUMC’s efforts in safeguarding people’ s health and promoting the Healthy China 2030 strategy through scientific and technological innovation in the fields including basic research,disease prevention and treatment,and medical technology in the past ten years.These achievements embody the endeavors and responsibility of CAMS& PUMC in realizing self-reliance and self-improvement of Chinese medical science and technology and highlight its contributions to the development of medical science and technology of China.展开更多
Objectives To identify the 5'untranslated region of Zika virus(ZIKV 5'UTR)RNA-binding proteins and to investigate the impact of the binding protein on the activity of internal ribosomal entry site(IRES)located...Objectives To identify the 5'untranslated region of Zika virus(ZIKV 5'UTR)RNA-binding proteins and to investigate the impact of the binding protein on the activity of internal ribosomal entry site(IRES)located in ZIKV 5'UTR and virus production.Methods Interacting proteins in U251 cells were captured using tRSA-tagged ZIKV 5'UTR RNA and tRSA-ZIKV 5'UTR RNA-binding proteins were visualized by SDS-PAGE silver staining,Subsequently,liquid chromatographytandem mass spectrometry(LC-MS/MS),bioinformatics analysis,and Western blot were used to identify the candidate proteins binding to ZIKV 5'UTR.Dicistronic expression assay and plaque forming assay were performed to analyze the effect of the binding protein on ZIKV IRES activity and ZIKV production,respecitvely.Results tRSA RNA pull-down assay,LC-MS/MS,and Western blot analysis showed that polypyrimidine tractbinding protein(PTB)bound to the ZIKV 5'UTR.Furthermore,dual luciferase reporter assay revealed that overexpression of PTB significantly enhanced the IRES activity of ZIKV(t=10.220,P<0.001),while PTB knockdown had the opposite effect(t=4.897,P<0.01).Additionally,virus plaque forming assay demonstrated that up-regulation of PTB expression significantly enhanced viral titer(t=6.400,P<0.01),whereas reducing PTB expression level weakened virus infectivity(t=5.055,P<0.01).Conclusion PTB positively interacts with the ZIKV 5'UTR and enhances IRES activity and virus production.展开更多
The growing utilization of critical care echocardiography(CCE) by clinicians necessitates a meticulous review of clinical conditions in critically ill patients, both before and during the examination. The reviewing pr...The growing utilization of critical care echocardiography(CCE) by clinicians necessitates a meticulous review of clinical conditions in critically ill patients, both before and during the examination. The reviewing process of clinical conditions minimizes the risk of overlooking or misinterpreting crucial findings. This article proposes a comprehensive strategy, namely BILL strategy, to integrate into the CCE protocol, where "B" represents baseline respiratory and hemodynamic support, "I" signifies information gleaned from invasive monitoring, including central venous pressure and thermodilution-derived cardiac output, the first "L" denotes laboratory results such as central venous oxygen saturation, troponin, and brain natriuretic peptide, and the second "L" refers to lung ultrasound data. Combining the BILL strategy with CCE can enhance comprehensive understanding of critical conditions, potentially leading to improved diagnostic accuracy and patient outcomes.展开更多
文摘On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th National Congress of the Communist Party of China,China has vigorously promoted the integration and implementation of the Healthy China and Digital China strategies.The National Health Commission has prioritized the development of health and medical big data,issuing policies to promote standardized applica-tions and foster innovation in"Internet+Healthcare."Biomedical data has significantly contributed to preci-sion medicine,personalized health management,drug development,disease diagnosis,public health monitor-ing,and epidemic prediction capabilities.
文摘Data space,as an innovative data management and sharing model,is emerging in the medical and health sectors.This study expounds on the conceptual connotation of data space and delineates its key technologies,including distributed data storage,standardization and interoperability of data sharing,data security and privacy protection,data analysis and mining,and data space assessment.By analyzing the real-world cases of data spaces within medicine and health,this study compares the similarities and differences across various dimensions such as purpose,architecture,data interoperability,and privacy protection.Meanwhile,data spaces in these fields are challenged by the limited computing resources,the complexities of data integration,and the need for optimized algorithms.Additionally,legal and ethical issues such as unclear data ownership,undefined usage rights,risks associated with privacy protection need to be addressed.The study notes organizational and management difficulties,calling for enhancements in governance framework,data sharing mechanisms,and value assessment systems.In the future,technological innovation,sound regulations,and optimized management will help the development of the medical and health data space.These developments will enable the secure and efficient utilization of data,propelling the medical industry into an era characterized by precision,intelligence,and personalization.
文摘Herpes simplex virus(HSV)types 1 and 2 pose significant health risks during pregnancy,impacting both maternal and neonatal outcomes.The 2024 joint guideline from the British Association for Sexual Health and HIV(BASHH)and the Royal College of Obstetricians and Gynaecologists(RCOG)in the United Kingdom introduces updated recommendations to reduce maternal-to-neonatal transmission.Key recommendations include initiating antiviral therapy earlier—at 32 weeks for standard pregnancies or as early as 22 weeks in high-risk cases—to minimize viral shedding.The guideline emphasizes polymerase chain reaction(PCR)testing for accurate diagnosis and advocates a multidisciplinary team(MDT)approach,involving genitourinary medicine(GUM)specialists,obstetricians,and neonatologists for delivery planning and neonatal care.However,the Chinese guidelines offer greater flexibility in the timing of antiviral treatment,tailored to regional resources and specific circumstances.PCR testing is also recommended,particularly in urban hospitals and tertiary care settings.The UK′s MDT model aligns with China′s integrative healthcare approach,presenting opportunities for mutual learning and collaboration.This comparative analysis highlights areas for cross-adaptation in clinical practices,with potential to enhance maternal and neonatal health outcomes globally.
文摘Objective Recent advancements in single-cell RNA sequencing(scRNA-seq)have revolutionized the study of cellular heterogeneity,particularly within the hematological system.However,accurately annotating cell types remains challenging due to the complexity of immune cells.To address this challenge,we develop a PAN-blood single-cell Data Annotator(scPANDA),which leverages a comprehensive 10-million-cell atlas to provide precise cell type annotation.Methods The atlas,constructed from data collected in 16 studies,incorporated rigorous quality control,preprocessing,and integration steps to ensure a high-quality reference for annotation.scPANDA utilizes a three layer inference approach,progressively refining cell types from broad compartments to specific clusters.Iterative clustering and harmonization processes were employed to maintain cell type purity throughout the analysis.Furthermore,the performance of scPANDA was evaluated in three external datasets.Results The atlas was structured hierarchically,consisting of 16 compartments,54 classes,4,460 low-level clusters(pd_cc_cl_tfs),and 611 high-level clusters(pmid_cts).Robust performance of the tool was demonstrated in annotating diverse immune scRNA-seq datasets,analyzing immune-tumor coexisting clusters in renal cell carcinoma,and identifying conserved cell clusters across species.Conclusion scPANDA exemplifies effective reference mapping with a large-scale atlas,enhancing the accuracy and reliability of blood cell type identification.
基金supported by the National Natural Science Foundation of China(32370703)the CAMS Innovation Fund for Medical Sciences(CIFMS)(2022-I2M-1-021,2021-I2M-1-061)the Major Project of Guangzhou National Labora-tory(GZNL2024A01015).
文摘Viral infectious diseases,characterized by their intricate nature and wide-ranging diversity,pose substantial challenges in the domain of data management.The vast volume of data generated by these diseases,spanning from the molecular mechanisms within cells to large-scale epidemiological patterns,has surpassed the capabilities of traditional analytical methods.In the era of artificial intelligence(AI)and big data,there is an urgent necessity for the optimization of these analytical methods to more effectively handle and utilize the information.Despite the rapid accumulation of data associated with viral infections,the lack of a comprehensive framework for integrating,selecting,and analyzing these datasets has left numerous researchers uncertain about which data to select,how to access it,and how to utilize it most effectively in their research.This review endeavors to fill these gaps by exploring the multifaceted nature of viral infectious diseases and summarizing relevant data across multiple levels,from the molecular details of pathogens to broad epidemiological trends.The scope extends from the micro-scale to the macro-scale,encompassing pathogens,hosts,and vectors.In addition to data summarization,this review thoroughly investigates various dataset sources.It also traces the historical evolution of data collection in the field of viral infectious diseases,highlighting the progress achieved over time.Simultaneously,it evaluates the current limitations that impede data utilization.Furthermore,we propose strategies to surmount these challenges,focusing on the development and application of advanced computational techniques,AI-driven models,and enhanced data integration practices.By providing a comprehensive synthesis of existing knowledge,this review is designed to guide future research and contribute to more informed approaches in the surveillance,prevention,and control of viral infectious diseases,particularly within the context of the expanding big-data landscape.
文摘Amid the global wave of digital economy,China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support,while facing multifaceted evaluation and regulatory challenges.The dynamic algorithm evolution undermines the consistency of assessment criteria,multimodal systems lack unified evaluation metrics,and conflicts persist between data sharing and privacy protection.To address these issues,the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies,formulated the country's first technical guideline for clinical evaluation,and validated their practicality through scenario-based pilot studies.Furthermore,this paper proposes introducing a"regulatory sandbox"model to test technical compliance in controlled environments,thereby balancing innovation incentives with risk governance.
文摘Focusing on the reform initiatives of Chinese Academy of Medical Sciences(CAMS) & Peking Union Medical College(PUMC) in medical scientific and technological innovation from perspectives of deepening the reform and optimizing the ecosystem of science and technology innovation,this article summarizes the highlights of CAMS & PUMC’s efforts in safeguarding people’ s health and promoting the Healthy China 2030 strategy through scientific and technological innovation in the fields including basic research,disease prevention and treatment,and medical technology in the past ten years.These achievements embody the endeavors and responsibility of CAMS& PUMC in realizing self-reliance and self-improvement of Chinese medical science and technology and highlight its contributions to the development of medical science and technology of China.
文摘Objectives To identify the 5'untranslated region of Zika virus(ZIKV 5'UTR)RNA-binding proteins and to investigate the impact of the binding protein on the activity of internal ribosomal entry site(IRES)located in ZIKV 5'UTR and virus production.Methods Interacting proteins in U251 cells were captured using tRSA-tagged ZIKV 5'UTR RNA and tRSA-ZIKV 5'UTR RNA-binding proteins were visualized by SDS-PAGE silver staining,Subsequently,liquid chromatographytandem mass spectrometry(LC-MS/MS),bioinformatics analysis,and Western blot were used to identify the candidate proteins binding to ZIKV 5'UTR.Dicistronic expression assay and plaque forming assay were performed to analyze the effect of the binding protein on ZIKV IRES activity and ZIKV production,respecitvely.Results tRSA RNA pull-down assay,LC-MS/MS,and Western blot analysis showed that polypyrimidine tractbinding protein(PTB)bound to the ZIKV 5'UTR.Furthermore,dual luciferase reporter assay revealed that overexpression of PTB significantly enhanced the IRES activity of ZIKV(t=10.220,P<0.001),while PTB knockdown had the opposite effect(t=4.897,P<0.01).Additionally,virus plaque forming assay demonstrated that up-regulation of PTB expression significantly enhanced viral titer(t=6.400,P<0.01),whereas reducing PTB expression level weakened virus infectivity(t=5.055,P<0.01).Conclusion PTB positively interacts with the ZIKV 5'UTR and enhances IRES activity and virus production.
文摘The growing utilization of critical care echocardiography(CCE) by clinicians necessitates a meticulous review of clinical conditions in critically ill patients, both before and during the examination. The reviewing process of clinical conditions minimizes the risk of overlooking or misinterpreting crucial findings. This article proposes a comprehensive strategy, namely BILL strategy, to integrate into the CCE protocol, where "B" represents baseline respiratory and hemodynamic support, "I" signifies information gleaned from invasive monitoring, including central venous pressure and thermodilution-derived cardiac output, the first "L" denotes laboratory results such as central venous oxygen saturation, troponin, and brain natriuretic peptide, and the second "L" refers to lung ultrasound data. Combining the BILL strategy with CCE can enhance comprehensive understanding of critical conditions, potentially leading to improved diagnostic accuracy and patient outcomes.
