Artificial Intelligence(AI)is transforming the healthcare landscape,yet many current applications remain narrowly task-specific,constrained by data complexity and inherent biases.This paper explores the emergence of n...Artificial Intelligence(AI)is transforming the healthcare landscape,yet many current applications remain narrowly task-specific,constrained by data complexity and inherent biases.This paper explores the emergence of next generation"agentic AI"systems,characterized by advanced autonomy,adaptability,scalability,and prob-abilistic reasoning,which address critical challenges in medical management.These systems enhance various aspects of healthcare,including diagnostics,clinical decision support,treatment planning,patient monitoring,administrative operations,drug discovery,and robotic-assisted surgery.Powered by multimodal AI,agentic systems integrate diverse data sources,iteratively refine outputs,and leverage vast knowledge bases to deliver context-aware,patient-centric care with heightened precision and reduced error rates.These advancements promise to enhance patient outcomes,optimize clinical workflows,and expand the reach of AI-driven solutions.However,their deployment introduces ethical,privacy,and regulatory challenges,emphasizing the need for robust governance frameworks and interdisciplinary collaboration.Agentic AI has the potential to redefine healthcare,driving personalized,efficient,and scalable services while extending its impact beyond clinical settings to global public health initiatives.By addressing disparities and enhancing care delivery in resourcelimited environments,this technology could significantly advance equitable healthcare.Realizing the full po-tential of agentic AI will require sustained research,innovation,and cross-disciplinary partnerships to ensure its responsible and transformative integration into healthcare systems worldwide.展开更多
Agentic AI represents a significant advancement in artificial intelligence,enabling proactive agents that can set goals,make decisions,and adapt to changing situations.However,the performance of these systems is heavi...Agentic AI represents a significant advancement in artificial intelligence,enabling proactive agents that can set goals,make decisions,and adapt to changing situations.However,the performance of these systems is heavily dependent on the quality and relevance of the data they process.This research highlights the critical risk posed by faulty,insecure,or contextually inappropriate input data in modern Agentic AI systems.To address this challenge,this study proposes the Autonomous Data Integrity Layer(ADIL).This flexible architecture integrates best practices from security engineering and data science to ensure that Agentic AI systems operate with clean,validated,and contextually relevant data.By focusing on data integrity,ADIL enhances the reliability,accountability,and effectiveness of Agentic AI systems,leading to more trustworthy and robust intelligent agents.展开更多
Advancements in large language models(LLMs)have markedly improved the adaptability of artificial intelligence(AI)agents in dynamic and open environments.However,with the growing number and diversity of agents,ensuring...Advancements in large language models(LLMs)have markedly improved the adaptability of artificial intelligence(AI)agents in dynamic and open environments.However,with the growing number and diversity of agents,ensuring secure,reliable,and autonomous collaboration among them has become an urgent and critical challenge.To this end,this letter proposes agent reinforced generation(ARG)to establish a multi-agent system with audit trail functionality,privacy compliance,and autonomous coordination.ARG integrates the model context protocol(MCP)and agent-to-agent(A2A)protocol to define the rules and logic governing agent-to-agent communications as well as agent-to-tool/data engagements.Decentralized autonomous organizations and operations(DAOs)are employed to enable agents to coordinate and execute tasks in a transparent and tamper-resistant manner.Additionally,the operational process of ARG is elaborated from task issuance to completion to validate the auditability and immutability of task coordination and execution.Finally,we highlight five key features of ARG,including parallelism and throughput,scalability across domains and load,fault tolerance and graceful failure,resource efficiency through delegation,as well as data security and privacy protection,positioning it as a promising paradigm for the realization of agentic intelligence.展开更多
Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions i...Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions in Positive and Negative Syndrome Scale positive symptoms than 40 mg/day,without higher discontinuations for adverse events or a metabolic penalty over 6 weeks.These data support an individualized approach:Start at 80 mg/day when rapid control of positive symptoms or agitation is needed and tolerance permits;start at 40 mg/day when akathisia risk or patient preference argues for caution,with a planned day-7 review for up-titration.The open-label design,dose convergence after week 1,and the lack of stratified randomization limit attribution of longer-term advantages to starting dose.Even so,the trial reframes initial dose as a modifiable lever for the early course rather than a one-size-fits-all rule and warrants confirmation in larger,double-blind randomized trials.展开更多
Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical pr...Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical properties of CaO-MgO-Al_(2)O_(3)-SiO_(2)foamed glass-ceramics were investigated.The results showed that the main crystalline phase of the foamed glass-ceramics was anorthite with diopside as a minor crystalline phase,which exhibited a typical surface crystallization process.The addition of H_(3)BO_(3)modified the surface of glass powders and inhibited crystal precipitation obviously.The low melting point of H_(3)BO_(3)and the decrease of crystallinity jointly promoted the growth of pores,resulting in a reduction of bulk density and an increase in porosity.The compressive strength and thermal conductivity of the samples were linearly related to the bulk density.In particular,the sample added with 10 wt%H_(3)BO_(3)exhibited excellent properties,possessing a low coefficient of thermal conductivity 0.081 W/(m·K)and relatively high compressive strength 3.36 MPa.展开更多
Objective:To study the potential of Pituranthos chloranthus essential oil(PC)as a chemoprotective agent.Methods:In the in vitro study,cell proliferation were determined in CT26,SW620,and SW480 cells.Cells were exposed...Objective:To study the potential of Pituranthos chloranthus essential oil(PC)as a chemoprotective agent.Methods:In the in vitro study,cell proliferation were determined in CT26,SW620,and SW480 cells.Cells were exposed to in creasing concentrations of PC(0,6.25,12.5,25,50,100,and 200μg/mL).Combination index was calculated by applying the Chou-Talalay method,apoptopsis was analyzed by annexin V/propidium iodide staining,reactive oxygen species accumulation,and theΔψm drop were also assessed.In the in vivo study,mice were divided into 5 groups:the normal control group,the CT26 tumor-bearing group,the CT26 tumor-bearing mice+PC group,the CT26 tumor-bearing mice+cisplatin group,and the CT26 tumor-bearing mice+cisplatin+PC group.Organ coefficients and tumor volume were calculated.Alanine aminotransferase,aspartate aminotransferase,creatinine,and tumor necrosis factor-αlevels were assessed.Results:Cisplatin with PC induced a synergistic effect,allowing for reduced cisplatin dose while maintaining the same therapeutic efficacy.PC-cisplatin combinations inhibited cell viability by significantly inducing apoptosis,increasing reactive oxygen species accumulation and reducing mitochondrial membrane potential.Co-treatment with cisplatin and PC restored organ coefficients,reduced tumor volume,and alleviated nephrotoxicity in CT26 tumor-bearing mice by restoring kidney function markers and ameliorating kidney inflammation status.Conclusions:PC shows a chemoprotective potential by enhancing the antitumor effect of cisplatin while alleviating its side effects.展开更多
BACKGROUND Ulcerative colitis(UC)is a chronic and debilitating inflammatory bowel disease.Cumulative evidence indicates that excess hydrogen peroxide,a potent neutrophilic chemotactic agent,produced by colonic epithel...BACKGROUND Ulcerative colitis(UC)is a chronic and debilitating inflammatory bowel disease.Cumulative evidence indicates that excess hydrogen peroxide,a potent neutrophilic chemotactic agent,produced by colonic epithelial cells has a causal role leading to infiltration of neutrophils into the colonic mucosa and subsequent development of UC.This evidence-based mechanism identifies hydrogen peroxide as a therapeutic target for reducing agents in the treatment of UC.CASE SUMMARY Presented is a 41-year-old female with a 26-year history of refractory UC.Having developed steroid dependence and never achieving complete remission on treatment by conventional and advanced therapies,she began treatment with oral R-dihydrolipoic acid(RDLA),a lipid-soluble reducing agent with intracellular site of action.Within a week,rectal bleeding ceased.She was asymptomatic for three years until a highly stressful experience,when she noticed blood in her stool.RDLA was discontinued,and she began treatment with oral sodium thiosulfate pentahydrate(STS),a reducing agent with extracellular site of action.After a week,rectal bleeding ceased,and she resumed oral RDLA and discontinued STS.To date,she remains asymptomatic with normal stool calprotectin while on RDLA.CONCLUSION STS and RDLA are reducing agents that serve as highly effective and safe therapy for the induction and maintenance of remission in UC,even in patients refractory or poorly controlled by conventional and advanced therapies.Should preliminary findings be validated by subsequent clinical trials,the use of reducing agents could potentially prevent thousands of colectomies and represent a paradigm shift in the treatment of UC.展开更多
Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as ...Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as a primary source for developing novel antiviral drugs,making the rapid discovery and evaluation of marine antiviral agents particularly crucial.Thus,future research should place greater emphasis on the identification of novel antiviral targets through the combination of artificial intelligence(AI)and structural pharmacology,as well as expanding the marine resource and target databases.展开更多
针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体...针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体系效能优化。其次,基于矩母函数与梅森公式给出了体系作战链/网任务成功概率和作战效能的计算方法和证明,并在深刻剖析体系组成单元贡献的基础上,借助合作博弈的利益公平分配思想,提出了基于Shapley值的体系组成单元期望贡献评估模型。然后,基于马尔可夫过程理论,提出了基于组成单元贡献的A-GERT网络体系效能优化算法。最后结合实例研究,说明了所提模型的可行性和有效性。展开更多
基金funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748.
文摘Artificial Intelligence(AI)is transforming the healthcare landscape,yet many current applications remain narrowly task-specific,constrained by data complexity and inherent biases.This paper explores the emergence of next generation"agentic AI"systems,characterized by advanced autonomy,adaptability,scalability,and prob-abilistic reasoning,which address critical challenges in medical management.These systems enhance various aspects of healthcare,including diagnostics,clinical decision support,treatment planning,patient monitoring,administrative operations,drug discovery,and robotic-assisted surgery.Powered by multimodal AI,agentic systems integrate diverse data sources,iteratively refine outputs,and leverage vast knowledge bases to deliver context-aware,patient-centric care with heightened precision and reduced error rates.These advancements promise to enhance patient outcomes,optimize clinical workflows,and expand the reach of AI-driven solutions.However,their deployment introduces ethical,privacy,and regulatory challenges,emphasizing the need for robust governance frameworks and interdisciplinary collaboration.Agentic AI has the potential to redefine healthcare,driving personalized,efficient,and scalable services while extending its impact beyond clinical settings to global public health initiatives.By addressing disparities and enhancing care delivery in resourcelimited environments,this technology could significantly advance equitable healthcare.Realizing the full po-tential of agentic AI will require sustained research,innovation,and cross-disciplinary partnerships to ensure its responsible and transformative integration into healthcare systems worldwide.
文摘Agentic AI represents a significant advancement in artificial intelligence,enabling proactive agents that can set goals,make decisions,and adapt to changing situations.However,the performance of these systems is heavily dependent on the quality and relevance of the data they process.This research highlights the critical risk posed by faulty,insecure,or contextually inappropriate input data in modern Agentic AI systems.To address this challenge,this study proposes the Autonomous Data Integrity Layer(ADIL).This flexible architecture integrates best practices from security engineering and data science to ensure that Agentic AI systems operate with clean,validated,and contextually relevant data.By focusing on data integrity,ADIL enhances the reliability,accountability,and effectiveness of Agentic AI systems,leading to more trustworthy and robust intelligent agents.
基金supported by the Science and Technology Development Fund,Macao SAR(Nos.0093/2023/RIA2 and 0145/2023/RIA3).
文摘Advancements in large language models(LLMs)have markedly improved the adaptability of artificial intelligence(AI)agents in dynamic and open environments.However,with the growing number and diversity of agents,ensuring secure,reliable,and autonomous collaboration among them has become an urgent and critical challenge.To this end,this letter proposes agent reinforced generation(ARG)to establish a multi-agent system with audit trail functionality,privacy compliance,and autonomous coordination.ARG integrates the model context protocol(MCP)and agent-to-agent(A2A)protocol to define the rules and logic governing agent-to-agent communications as well as agent-to-tool/data engagements.Decentralized autonomous organizations and operations(DAOs)are employed to enable agents to coordinate and execute tasks in a transparent and tamper-resistant manner.Additionally,the operational process of ARG is elaborated from task issuance to completion to validate the auditability and immutability of task coordination and execution.Finally,we highlight five key features of ARG,including parallelism and throughput,scalability across domains and load,fault tolerance and graceful failure,resource efficiency through delegation,as well as data security and privacy protection,positioning it as a promising paradigm for the realization of agentic intelligence.
文摘Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions in Positive and Negative Syndrome Scale positive symptoms than 40 mg/day,without higher discontinuations for adverse events or a metabolic penalty over 6 weeks.These data support an individualized approach:Start at 80 mg/day when rapid control of positive symptoms or agitation is needed and tolerance permits;start at 40 mg/day when akathisia risk or patient preference argues for caution,with a planned day-7 review for up-titration.The open-label design,dose convergence after week 1,and the lack of stratified randomization limit attribution of longer-term advantages to starting dose.Even so,the trial reframes initial dose as a modifiable lever for the early course rather than a one-size-fits-all rule and warrants confirmation in larger,double-blind randomized trials.
基金Funded by Shandong Provincial Youth Innovation Team Development Plan of Colleges and Universities(No.2022KJ100)National Natural Science Foundation of China(No.52172019)。
文摘Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical properties of CaO-MgO-Al_(2)O_(3)-SiO_(2)foamed glass-ceramics were investigated.The results showed that the main crystalline phase of the foamed glass-ceramics was anorthite with diopside as a minor crystalline phase,which exhibited a typical surface crystallization process.The addition of H_(3)BO_(3)modified the surface of glass powders and inhibited crystal precipitation obviously.The low melting point of H_(3)BO_(3)and the decrease of crystallinity jointly promoted the growth of pores,resulting in a reduction of bulk density and an increase in porosity.The compressive strength and thermal conductivity of the samples were linearly related to the bulk density.In particular,the sample added with 10 wt%H_(3)BO_(3)exhibited excellent properties,possessing a low coefficient of thermal conductivity 0.081 W/(m·K)and relatively high compressive strength 3.36 MPa.
基金funded by The Tunisian Ministry of Research and Higher Education.
文摘Objective:To study the potential of Pituranthos chloranthus essential oil(PC)as a chemoprotective agent.Methods:In the in vitro study,cell proliferation were determined in CT26,SW620,and SW480 cells.Cells were exposed to in creasing concentrations of PC(0,6.25,12.5,25,50,100,and 200μg/mL).Combination index was calculated by applying the Chou-Talalay method,apoptopsis was analyzed by annexin V/propidium iodide staining,reactive oxygen species accumulation,and theΔψm drop were also assessed.In the in vivo study,mice were divided into 5 groups:the normal control group,the CT26 tumor-bearing group,the CT26 tumor-bearing mice+PC group,the CT26 tumor-bearing mice+cisplatin group,and the CT26 tumor-bearing mice+cisplatin+PC group.Organ coefficients and tumor volume were calculated.Alanine aminotransferase,aspartate aminotransferase,creatinine,and tumor necrosis factor-αlevels were assessed.Results:Cisplatin with PC induced a synergistic effect,allowing for reduced cisplatin dose while maintaining the same therapeutic efficacy.PC-cisplatin combinations inhibited cell viability by significantly inducing apoptosis,increasing reactive oxygen species accumulation and reducing mitochondrial membrane potential.Co-treatment with cisplatin and PC restored organ coefficients,reduced tumor volume,and alleviated nephrotoxicity in CT26 tumor-bearing mice by restoring kidney function markers and ameliorating kidney inflammation status.Conclusions:PC shows a chemoprotective potential by enhancing the antitumor effect of cisplatin while alleviating its side effects.
文摘BACKGROUND Ulcerative colitis(UC)is a chronic and debilitating inflammatory bowel disease.Cumulative evidence indicates that excess hydrogen peroxide,a potent neutrophilic chemotactic agent,produced by colonic epithelial cells has a causal role leading to infiltration of neutrophils into the colonic mucosa and subsequent development of UC.This evidence-based mechanism identifies hydrogen peroxide as a therapeutic target for reducing agents in the treatment of UC.CASE SUMMARY Presented is a 41-year-old female with a 26-year history of refractory UC.Having developed steroid dependence and never achieving complete remission on treatment by conventional and advanced therapies,she began treatment with oral R-dihydrolipoic acid(RDLA),a lipid-soluble reducing agent with intracellular site of action.Within a week,rectal bleeding ceased.She was asymptomatic for three years until a highly stressful experience,when she noticed blood in her stool.RDLA was discontinued,and she began treatment with oral sodium thiosulfate pentahydrate(STS),a reducing agent with extracellular site of action.After a week,rectal bleeding ceased,and she resumed oral RDLA and discontinued STS.To date,she remains asymptomatic with normal stool calprotectin while on RDLA.CONCLUSION STS and RDLA are reducing agents that serve as highly effective and safe therapy for the induction and maintenance of remission in UC,even in patients refractory or poorly controlled by conventional and advanced therapies.Should preliminary findings be validated by subsequent clinical trials,the use of reducing agents could potentially prevent thousands of colectomies and represent a paradigm shift in the treatment of UC.
文摘Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as a primary source for developing novel antiviral drugs,making the rapid discovery and evaluation of marine antiviral agents particularly crucial.Thus,future research should place greater emphasis on the identification of novel antiviral targets through the combination of artificial intelligence(AI)and structural pharmacology,as well as expanding the marine resource and target databases.
文摘针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体系效能优化。其次,基于矩母函数与梅森公式给出了体系作战链/网任务成功概率和作战效能的计算方法和证明,并在深刻剖析体系组成单元贡献的基础上,借助合作博弈的利益公平分配思想,提出了基于Shapley值的体系组成单元期望贡献评估模型。然后,基于马尔可夫过程理论,提出了基于组成单元贡献的A-GERT网络体系效能优化算法。最后结合实例研究,说明了所提模型的可行性和有效性。
