China-Cameroon pharmaceutical cooperation is expected to bring benefits beyond its borders A new chapter in Sino-Cameroonian cooperation is being written.The $948.7 million Yicheng Pharmaceutical Group Fabrication Co....China-Cameroon pharmaceutical cooperation is expected to bring benefits beyond its borders A new chapter in Sino-Cameroonian cooperation is being written.The $948.7 million Yicheng Pharmaceutical Group Fabrication Co.Ltd.plant is set to reshape Cameroon’s pharmaceutical landscape.展开更多
AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to i...AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.On this basis,we organized this special issue entitled"Innovative Pharmaceutical Research Driven by AI",and collected Original research articles,Reviewpapers.展开更多
Microorganisms,abundant in nature,are prolific producers of a diverse array of natural products(NPs)that are fundamental in the development of innovative therapeutics.Despite their significant potential,the field face...Microorganisms,abundant in nature,are prolific producers of a diverse array of natural products(NPs)that are fundamental in the development of innovative therapeutics.Despite their significant potential,the field faces considerable challenges,including the continuous emergence of potential health threats,as well as novel pathogen strains and viruses.The advent and implementation of advanced technologies,such as culture strategies,genomics mining,and artificial intelligence(AI),are facilitating a paradigm shift in pharmaceutical research,introducing innovative methodologies and perspectives.The development and maturation of these technologies have enhanced the exploration of microbial-derived NPs,thereby advancing pharmaceutical research and development.This review synthesizes recent developments in this context,emphasizing their applications in pharmaceutical discovery and development.Through systematic analysis and synthesis,it provides objective insights into the promising prospects and future direction of this essential field.展开更多
Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before ...Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.展开更多
Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal...Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.展开更多
A prominent issue in current postgraduate education is the lack of essential differentiation between the training of professional degree postgraduates and academic degree postgraduates,which has led to a disconnection...A prominent issue in current postgraduate education is the lack of essential differentiation between the training of professional degree postgraduates and academic degree postgraduates,which has led to a disconnection between professional postgraduate training and industry demands.To address this issue,this paper takes the Master’s program in Biological and Pharmaceutical Sciences at Guangdong Pharmaceutical University as a case study.Targeting the urgent needs of the high-quality development of the biopharmaceutical industry,and aiming to strengthen students’professional competence and sustainable development capabilities while focusing on improving their practical and innovative abilities,this study explores implementation paths for integrating industry,education,and research with a dual-tutor collaborative training model.These include the development of a dual-tutor team,curriculum system optimization,the improvement of a quality assurance system,and the construction of practical training platforms.The paper demonstrates the outcomes of this model and proposes strategies for promotion and future outlooks,offering new ideas for training high-quality talent in the biological and pharmaceutical fields.展开更多
Higher pharmaceutical education in China has developed for more than 100 years. More and more talented pharmacy professionals are required due to the rapid development of pharmaceutical industry and patients＇ needs, ...Higher pharmaceutical education in China has developed for more than 100 years. More and more talented pharmacy professionals are required due to the rapid development of pharmaceutical industry and patients＇ needs, leading to many challenges for the current higher pharmaceutical education system. This paper provided a retrospective review of the evolution of higher pharmaceutical education in China, which described its current status and future prospects of higher pharmaceutical education in China, and offered some suggestions on these challenges.展开更多
Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery betwe...Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery between March and June 2023 were selected as the control group,receiving routine medication management.Another 115 patients who underwent ophthalmological surgery between July and October 2023 were selected as the observation group,receiving pharmaceutical care.The rationality of medication use,mastery of medication knowledge,medication compliance,and adverse reaction rates were compared between the two groups.Results:The observation group had higher rationality of medication use,higher scores for mastery of medication knowledge,higher medication compliance,and a lower adverse reaction rate compared to the control group(P<0.05).Conclusion:The combination of antibiotic therapy and pharmaceutical care in the ophthalmology perioperative period can improve the rationality of medication use,enhance patients’mastery of medication knowledge,increase their medication compliance,and prevent adverse reactions to antibiotics.展开更多
Innately designed to induce physiological changes,pharmaceuticals are foreknowingly hazardous to the ecosystem.Advanced oxidation processes(AOPs)are recognized as a set of contemporary and highly efficient methods bei...Innately designed to induce physiological changes,pharmaceuticals are foreknowingly hazardous to the ecosystem.Advanced oxidation processes(AOPs)are recognized as a set of contemporary and highly efficient methods being used as a contrivance for the removal of pharmaceutical residues.Since reactive oxygen species(ROS)are formed in these processes to interact and contribute directly toward the oxidation of target contaminant(s),a profound insight regarding the mechanisms of ROS leading to the degradation of pharmaceuticals is fundamentally significant.The conceptualization of some specific reaction mechanisms allows the design of an effective and safe degradation process that can empirically reduce the environmental impact of themicropollutants.This review mainly deliberates themechanistic reaction pathways for ROS-mediated degradation of pharmaceuticals often leading to complete mineralization,with a focus on acetaminophen as a drug waste model.展开更多
With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient pur...With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.展开更多
The microstructures of pharmaceutical preparations play a pivotal role in determining their critical quality attributes(CQAs),such as drug release,content uniformity,and stability,which greatly impact the safety and e...The microstructures of pharmaceutical preparations play a pivotal role in determining their critical quality attributes(CQAs),such as drug release,content uniformity,and stability,which greatly impact the safety and efficacy of drugs.Unlike the inherent molecular structures of active pharmaceutical ingredients(APIs)and excipients,the microstructures of pharmaceutical preparations are developed during the formulation process,presenting unique analytical challenges.In this review,we primarily focus on presenting the research methods used to elucidate the microstructures of pharmaceutical preparations,including X-ray imaging(XRI),scanning electron microscopy(SEM),atomic force microscopy(AFM),Raman spectroscopy,infrared(IR)spectroscopy,and rheometer technology.Subsequently,we highlight the applications,advantages,and limitations of these methods.Finally,we discuss the current challenges and future perspectives in this field.This review aims to provide a comprehensive reference for understanding the microstructures of pharmaceutical preparations,offering new insights and potential advancements in their development.展开更多
Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challeng...Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challenge emerges from the misalignment between the mid-IR light wavelength range and molecular dimensions,culminating in a constrained absorption cross-section and diminished vibrational absorption coefficients(Supplementary data).展开更多
Pharmaceuticals and personal care products(PPCPs)have been considered as potential contributors to thyroid nodule(TN)and abnormal thyroid homeostasis,but epidemiological evidence is scarce.A total of 1261 individuals ...Pharmaceuticals and personal care products(PPCPs)have been considered as potential contributors to thyroid nodule(TN)and abnormal thyroid homeostasis,but epidemiological evidence is scarce.A total of 1261 individuals comprised of 367 TN patients and 895 controls were recruited from Sichuan,China.The urinary concentrations of fourteen PPCPs were measured.Five thyroid hormones(THs)in serum were determined as indicators of thyroid homeostasis,including thyroid-stimulating hormone,triiodothyronine(T3),thyroxine(T4),free-T3 and free-T4.Serum levels of thyroglobulin antibody(TGAb)and thyroperoxidase antibody(TPOAb)were quantified to identify individual thyroid antibody(TA)statuses.TN patients exhibited higher propyl-paraben(PrP)(median:1.30μg/g Cr)level than controls(0.64μg/g Cr).PrP were significantly associated with TN risk with ORs of 1.060(95%CI:1.002,1.122).The relationship of methyl-paraben with TN risk was nonlinear(p=0.049).PPCP exposurewas significantwith TN risk only in females and TA positive(TPOAb or TGAb)groups,indicating that PPCP susceptibility to TN differs by sex and TA status.Linear regression models showed ethyl-paraben was significantly negatively associated with T4(β:-0.005,95%CI:-0.011,-0.002)and T3(β:-0.007,95%CI:-0.015,-0.002),and positively associated with TPOAb(β:0.059,95%CI:0.000,0.119),suggesting that certain PPCP exposure could affect thyroid homeostasis and autoimmunity.The effects of PPCP exposure on TH and TA levels presented sex-specific.Our findings suggest that PPCP exposure increases TN risk and affects thyroid homeostasis,exhibiting sex and antibody status dependence.展开更多
In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,a...In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,and enhancing product quality.Nevertheless,ensuring the quality of formulated pharmaceutical products through the management of raw material variations has always been a challenging task.In this work,data-driven chance-constrained recurrent neural networks(CCRNNs)are developed to address the issue arising from raw material uncertainty.Our goal is to explore how,by proactively incorporating uncertainty into the model training process,more accurate predictions and enhanced robustness can be realized.The proposed approach is tested on a fluid bed dryer(FBD)from a continuous pharmaceutical manufacturing pilot plant.The results demonstrate that CCRNN models offer more robust and accurate predictions for the critical quality attribute(CQA)-in this case,moisture content-when material variations occur,compared with conventional recurrent neural network-based models.展开更多
Objective To study the construction of market credit supervision systems for pharmaceutical enterprises in Liaoning Province and to provide suggestions for improving the integrity awareness and production activities.M...Objective To study the construction of market credit supervision systems for pharmaceutical enterprises in Liaoning Province and to provide suggestions for improving the integrity awareness and production activities.Methods Based on the market credit supervision experience of National Medical Products Administration and some other provinces,the construction of supervision laws and regulations system for pharmaceutical enterprises in Liaoning Province was investigated from the perspectives of daily supervision and inspection,joint punishment of illegal acts,sampling results,information communication and publicity.Results and Conclusion In recent years,Liaoning Provincial Party Committee and the People’s Government of Liaoning Province has attached great importance to the construction of social credit system by issuing a series of local regulations and local government rules.However,the laws and regulations on the market credit supervision of pharmaceutical enterprises are not perfect,and there is a lack of legal documents such as the credit rating method.Besides,some regulatory documents are slightly outdated and they should be revised in time according to the development of the pharmaceutical industry.The Food and Drug Administration of Liaoning Province should promulgate some relevant laws and regulations on the market credit supervision of pharmaceutical enterprises as soon as possible.Firstly,Liaoning Drug Administration should formulate the“Measures for the Administration of Drug Safety Credit of Pharmaceutical Enterprises”,including the establishment of credit information management system,which can clarify the main responsibility of pharmaceutical enterprises and key personnel,and standardize drug advertising and advertising endorsement.Secondly,Liaoning Drug Administration should introduce the“Credit Rating Methods for Pharmaceutical Enterprises”,and divide the credit rating of pharmaceutical enterprises into four grades from high to low.Besides,differentiated credit supervision measures must be implemented.Finally,the Pharmaceutical Industry Association of Liaoning Province should issue the industry norms that regard drug quality as life so as to improve the integrity awareness of pharmaceutical enterprises and promote the production activities.展开更多
This study presents a systematic review of applications of artificial intelligence(abbreviated as AI)and blockchain in supply chain provenance traceability and legal forensics cover five sectors:integrated circuits(ab...This study presents a systematic review of applications of artificial intelligence(abbreviated as AI)and blockchain in supply chain provenance traceability and legal forensics cover five sectors:integrated circuits(abbreviated as ICs),pharmaceuticals,electric vehicles(abbreviated as EVs),drones(abbreviated as UAVs),and robotics—in response to rising trade tensions and geopolitical conflicts,which have heightened concerns over product origin fraud and information security.While previous literature often focuses on single-industry contexts or isolated technologies,this reviewcomprehensively surveys these sectors and categorizes 116 peer-reviewed studies by application domain,technical architecture,and functional objective.Special attention is given to traceability control mechanisms,data integrity,and the use of forensic technologies to detect origin fraud.The study further evaluates real-world implementations,including blockchain-enabled drug tracking systems,EV battery raw material traceability,and UAV authentication frameworks,demonstrating the practical value of these technologies.By identifying technological challenges and policy implications,this research provides a comprehensive foundation for future academic inquiry,industrial adoption,and regulatory development aimed at enhancing transparency,resilience,and trust in global supply chains.展开更多
With the rapid growth of the cosmetics industry,the demand for diversified and interdisciplinary talent is increasing.However,a structural mismatch persists between current educational approaches and industry needs,pa...With the rapid growth of the cosmetics industry,the demand for diversified and interdisciplinary talent is increasing.However,a structural mismatch persists between current educational approaches and industry needs,particularly in aligning with the holistic education model,which emphasizes moral,intellectual,physical,aesthetic,and labor development.To bridge this gap,Guangdong Pharmaceutical University has implemented a comprehensive reform of its holistic education system,aiming to cultivate well-rounded cosmetics professionals.Key initiatives include integrating professional ethics into moral education,strengthening the integration of theory and practice in intellectual training,emphasizing skin health management in physical education,enhancing aesthetic appreciation and creative thinking,and promoting labor spirit and practical skills through hands-on experiences.These reform efforts have yielded significant results,contributing high-quality talent to the cosmetics industry and offering a valuable model for other institutions seeking to align education with industry demands.展开更多
Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a ...Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.展开更多
Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the de...Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.展开更多
AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to i...AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.展开更多
文摘China-Cameroon pharmaceutical cooperation is expected to bring benefits beyond its borders A new chapter in Sino-Cameroonian cooperation is being written.The $948.7 million Yicheng Pharmaceutical Group Fabrication Co.Ltd.plant is set to reshape Cameroon’s pharmaceutical landscape.
文摘AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.On this basis,we organized this special issue entitled"Innovative Pharmaceutical Research Driven by AI",and collected Original research articles,Reviewpapers.
基金supported by Nanjing Science and Technology Bureau International,Hong Kong,Macao,and Taiwan Science and Technology Cooperation Program(No.202401042)。
文摘Microorganisms,abundant in nature,are prolific producers of a diverse array of natural products(NPs)that are fundamental in the development of innovative therapeutics.Despite their significant potential,the field faces considerable challenges,including the continuous emergence of potential health threats,as well as novel pathogen strains and viruses.The advent and implementation of advanced technologies,such as culture strategies,genomics mining,and artificial intelligence(AI),are facilitating a paradigm shift in pharmaceutical research,introducing innovative methodologies and perspectives.The development and maturation of these technologies have enhanced the exploration of microbial-derived NPs,thereby advancing pharmaceutical research and development.This review synthesizes recent developments in this context,emphasizing their applications in pharmaceutical discovery and development.Through systematic analysis and synthesis,it provides objective insights into the promising prospects and future direction of this essential field.
基金funded by 2024 Scientific Research Project of Chongqing Medical and Pharmaceutical College(No.ygzrc2024101)Chongqing Education Commission Natural Science Foundation(No.KJQN202402821)+2 种基金Chongqing Shapingba District Science and Technology Bureau Project(No.2024071)2024 Chongqing Medical and Pharmaceutical College Innovation Research Group Project(No.ygz2024401)Chongqing Science and Health Joint Medical Research Project(No.2024SQKWLHMS051),respectively.
文摘Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.
基金funded by the National Key Research and Development Program of China(2024YFC3506900)the Special Project for Technological Innovation in New Productive Forces of Modern Chinese Medicines(24ZXZKSY00010 and 24ZXZKSY00040)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002)。
文摘Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.
基金Undergraduate Teaching Quality and Teaching Reform Project,Guangdong Province(Project No.:Yue Jiao Gao Han[2024]No.9)Graduate Education Innovation Plan Project,Guangdong Province(Project No.:Yue Jiao Tong Han[2024]No.1)+2 种基金First-Class Undergraduate Course Construction Project,Guangdong Province(Project No.:Yue Jiao Gao Han[2022]No.10)Undergraduate Curriculum Ideological and Political Reform Demonstration Project,Guangdong Province(Project No.:Yue Jiao Gao Han[2021]No.22)Higher Education Research Project,Guangdong Pharmaceutical University(Project No.:GGP202402).
文摘A prominent issue in current postgraduate education is the lack of essential differentiation between the training of professional degree postgraduates and academic degree postgraduates,which has led to a disconnection between professional postgraduate training and industry demands.To address this issue,this paper takes the Master’s program in Biological and Pharmaceutical Sciences at Guangdong Pharmaceutical University as a case study.Targeting the urgent needs of the high-quality development of the biopharmaceutical industry,and aiming to strengthen students’professional competence and sustainable development capabilities while focusing on improving their practical and innovative abilities,this study explores implementation paths for integrating industry,education,and research with a dual-tutor collaborative training model.These include the development of a dual-tutor team,curriculum system optimization,the improvement of a quality assurance system,and the construction of practical training platforms.The paper demonstrates the outcomes of this model and proposes strategies for promotion and future outlooks,offering new ideas for training high-quality talent in the biological and pharmaceutical fields.
基金The cultivation of teachers for Pharm.D Program in China(Grant No.201411)
文摘Higher pharmaceutical education in China has developed for more than 100 years. More and more talented pharmacy professionals are required due to the rapid development of pharmaceutical industry and patients＇ needs, leading to many challenges for the current higher pharmaceutical education system. This paper provided a retrospective review of the evolution of higher pharmaceutical education in China, which described its current status and future prospects of higher pharmaceutical education in China, and offered some suggestions on these challenges.
文摘Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery between March and June 2023 were selected as the control group,receiving routine medication management.Another 115 patients who underwent ophthalmological surgery between July and October 2023 were selected as the observation group,receiving pharmaceutical care.The rationality of medication use,mastery of medication knowledge,medication compliance,and adverse reaction rates were compared between the two groups.Results:The observation group had higher rationality of medication use,higher scores for mastery of medication knowledge,higher medication compliance,and a lower adverse reaction rate compared to the control group(P<0.05).Conclusion:The combination of antibiotic therapy and pharmaceutical care in the ophthalmology perioperative period can improve the rationality of medication use,enhance patients’mastery of medication knowledge,increase their medication compliance,and prevent adverse reactions to antibiotics.
基金the Ministry of Higher Education,Research and Innovation-Oman for their support of this research through TRC block funding grant No.BFP/RGP/EBR/22/378.
文摘Innately designed to induce physiological changes,pharmaceuticals are foreknowingly hazardous to the ecosystem.Advanced oxidation processes(AOPs)are recognized as a set of contemporary and highly efficient methods being used as a contrivance for the removal of pharmaceutical residues.Since reactive oxygen species(ROS)are formed in these processes to interact and contribute directly toward the oxidation of target contaminant(s),a profound insight regarding the mechanisms of ROS leading to the degradation of pharmaceuticals is fundamentally significant.The conceptualization of some specific reaction mechanisms allows the design of an effective and safe degradation process that can empirically reduce the environmental impact of themicropollutants.This review mainly deliberates themechanistic reaction pathways for ROS-mediated degradation of pharmaceuticals often leading to complete mineralization,with a focus on acetaminophen as a drug waste model.
文摘With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.
文摘The microstructures of pharmaceutical preparations play a pivotal role in determining their critical quality attributes(CQAs),such as drug release,content uniformity,and stability,which greatly impact the safety and efficacy of drugs.Unlike the inherent molecular structures of active pharmaceutical ingredients(APIs)and excipients,the microstructures of pharmaceutical preparations are developed during the formulation process,presenting unique analytical challenges.In this review,we primarily focus on presenting the research methods used to elucidate the microstructures of pharmaceutical preparations,including X-ray imaging(XRI),scanning electron microscopy(SEM),atomic force microscopy(AFM),Raman spectroscopy,infrared(IR)spectroscopy,and rheometer technology.Subsequently,we highlight the applications,advantages,and limitations of these methods.Finally,we discuss the current challenges and future perspectives in this field.This review aims to provide a comprehensive reference for understanding the microstructures of pharmaceutical preparations,offering new insights and potential advancements in their development.
基金supported by National Natural Science Foundation of China(Grant No.:32301161)the Natural Scientific Foundation of Hunan Province,China(Grant No.:2023JJ60052)+3 种基金the Scientific Research Project of Hunan Provincial Health Commission,China(Grant No.:202112062218,20190161)the Scientific Research Project of Hunan Provincial Department of Education,China(Grant No.:22B0455)the Clinical“4310”Project of the University of South China,China(Grant No.:20224310NHYCG02)the Doctoral Scientific Research Foundation of University of South China,China(Grant No.:200XQD042).
文摘Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challenge emerges from the misalignment between the mid-IR light wavelength range and molecular dimensions,culminating in a constrained absorption cross-section and diminished vibrational absorption coefficients(Supplementary data).
基金supported by the National Natural Science Foundation of China(Nos.21976046 and 42177412)the Ministry of Education of China(No.B17025).
文摘Pharmaceuticals and personal care products(PPCPs)have been considered as potential contributors to thyroid nodule(TN)and abnormal thyroid homeostasis,but epidemiological evidence is scarce.A total of 1261 individuals comprised of 367 TN patients and 895 controls were recruited from Sichuan,China.The urinary concentrations of fourteen PPCPs were measured.Five thyroid hormones(THs)in serum were determined as indicators of thyroid homeostasis,including thyroid-stimulating hormone,triiodothyronine(T3),thyroxine(T4),free-T3 and free-T4.Serum levels of thyroglobulin antibody(TGAb)and thyroperoxidase antibody(TPOAb)were quantified to identify individual thyroid antibody(TA)statuses.TN patients exhibited higher propyl-paraben(PrP)(median:1.30μg/g Cr)level than controls(0.64μg/g Cr).PrP were significantly associated with TN risk with ORs of 1.060(95%CI:1.002,1.122).The relationship of methyl-paraben with TN risk was nonlinear(p=0.049).PPCP exposurewas significantwith TN risk only in females and TA positive(TPOAb or TGAb)groups,indicating that PPCP susceptibility to TN differs by sex and TA status.Linear regression models showed ethyl-paraben was significantly negatively associated with T4(β:-0.005,95%CI:-0.011,-0.002)and T3(β:-0.007,95%CI:-0.015,-0.002),and positively associated with TPOAb(β:0.059,95%CI:0.000,0.119),suggesting that certain PPCP exposure could affect thyroid homeostasis and autoimmunity.The effects of PPCP exposure on TH and TA levels presented sex-specific.Our findings suggest that PPCP exposure increases TN risk and affects thyroid homeostasis,exhibiting sex and antibody status dependence.
基金Financial support from the Engineering and Physical Sciences Research Council grant EP/V034723/1(RiFTMaP)is gratefully acknowledged.
文摘In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,and enhancing product quality.Nevertheless,ensuring the quality of formulated pharmaceutical products through the management of raw material variations has always been a challenging task.In this work,data-driven chance-constrained recurrent neural networks(CCRNNs)are developed to address the issue arising from raw material uncertainty.Our goal is to explore how,by proactively incorporating uncertainty into the model training process,more accurate predictions and enhanced robustness can be realized.The proposed approach is tested on a fluid bed dryer(FBD)from a continuous pharmaceutical manufacturing pilot plant.The results demonstrate that CCRNN models offer more robust and accurate predictions for the critical quality attribute(CQA)-in this case,moisture content-when material variations occur,compared with conventional recurrent neural network-based models.
文摘Objective To study the construction of market credit supervision systems for pharmaceutical enterprises in Liaoning Province and to provide suggestions for improving the integrity awareness and production activities.Methods Based on the market credit supervision experience of National Medical Products Administration and some other provinces,the construction of supervision laws and regulations system for pharmaceutical enterprises in Liaoning Province was investigated from the perspectives of daily supervision and inspection,joint punishment of illegal acts,sampling results,information communication and publicity.Results and Conclusion In recent years,Liaoning Provincial Party Committee and the People’s Government of Liaoning Province has attached great importance to the construction of social credit system by issuing a series of local regulations and local government rules.However,the laws and regulations on the market credit supervision of pharmaceutical enterprises are not perfect,and there is a lack of legal documents such as the credit rating method.Besides,some regulatory documents are slightly outdated and they should be revised in time according to the development of the pharmaceutical industry.The Food and Drug Administration of Liaoning Province should promulgate some relevant laws and regulations on the market credit supervision of pharmaceutical enterprises as soon as possible.Firstly,Liaoning Drug Administration should formulate the“Measures for the Administration of Drug Safety Credit of Pharmaceutical Enterprises”,including the establishment of credit information management system,which can clarify the main responsibility of pharmaceutical enterprises and key personnel,and standardize drug advertising and advertising endorsement.Secondly,Liaoning Drug Administration should introduce the“Credit Rating Methods for Pharmaceutical Enterprises”,and divide the credit rating of pharmaceutical enterprises into four grades from high to low.Besides,differentiated credit supervision measures must be implemented.Finally,the Pharmaceutical Industry Association of Liaoning Province should issue the industry norms that regard drug quality as life so as to improve the integrity awareness of pharmaceutical enterprises and promote the production activities.
文摘This study presents a systematic review of applications of artificial intelligence(abbreviated as AI)and blockchain in supply chain provenance traceability and legal forensics cover five sectors:integrated circuits(abbreviated as ICs),pharmaceuticals,electric vehicles(abbreviated as EVs),drones(abbreviated as UAVs),and robotics—in response to rising trade tensions and geopolitical conflicts,which have heightened concerns over product origin fraud and information security.While previous literature often focuses on single-industry contexts or isolated technologies,this reviewcomprehensively surveys these sectors and categorizes 116 peer-reviewed studies by application domain,technical architecture,and functional objective.Special attention is given to traceability control mechanisms,data integrity,and the use of forensic technologies to detect origin fraud.The study further evaluates real-world implementations,including blockchain-enabled drug tracking systems,EV battery raw material traceability,and UAV authentication frameworks,demonstrating the practical value of these technologies.By identifying technological challenges and policy implications,this research provides a comprehensive foundation for future academic inquiry,industrial adoption,and regulatory development aimed at enhancing transparency,resilience,and trust in global supply chains.
基金Guangdong Provincial Graduate Education Innovation Program Project in 2024(Project No.:2024XSLT-039)。
文摘With the rapid growth of the cosmetics industry,the demand for diversified and interdisciplinary talent is increasing.However,a structural mismatch persists between current educational approaches and industry needs,particularly in aligning with the holistic education model,which emphasizes moral,intellectual,physical,aesthetic,and labor development.To bridge this gap,Guangdong Pharmaceutical University has implemented a comprehensive reform of its holistic education system,aiming to cultivate well-rounded cosmetics professionals.Key initiatives include integrating professional ethics into moral education,strengthening the integration of theory and practice in intellectual training,emphasizing skin health management in physical education,enhancing aesthetic appreciation and creative thinking,and promoting labor spirit and practical skills through hands-on experiences.These reform efforts have yielded significant results,contributing high-quality talent to the cosmetics industry and offering a valuable model for other institutions seeking to align education with industry demands.
基金supported by the National Natural Science Foundation of China(Grant No.:82404511)the Postdoctoral Fellowship Program of CPSF,China(Grant No.:GZC20232345).
文摘Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.
文摘Objective To empirically analyze the relationship between Government R&D funding and R&D investment of the enterprises in different sub industries of pharmaceutical industry,and to provide reference for the development of policies related to R&D funding input.Methods Granger causality test was performed using the data of relevant indicators in different sub industries of China’s pharmaceutical industry from 1995 to 2019 based on the theory of covariance.Results and Conclusion The funding of R&D from the government had a significant positive effect on their R&D funding inputs to enterprises with chemo products,Chinese patent products,and biological products.It means the improvement of government funding was beneficial in promoting the R&D investment from various sub industries of pharmaceutical industry.The order of this influence was biological products,chemo products,and Chinese patent drugs.As to chemical drugs and biological products,the government’s R&D funding and enterprises R&D funding input showed a good trend of mutual promotion in a certain lag period.The government can fully leverage its funding to promote the investment of all sub industries of pharmaceutical industry.Meanwhile,regulatory mechanisms should be refined for government funding.For the inheritance,innovation,and development of traditional Chinese medicine,the government should give more policy support than financial support.
文摘AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.
