Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were ...Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were included in this study.The patients were randomly grouped into Group A and Group B.Group A received personalized comprehensive care whereas Group B received conventional care.The value of care was compared.Results:The duration of mechanical ventilation time,the time taken for fever and dyspnea relief,and the hospitalization time of Group A were shorter than those in Group B(P<0.05).The blood gas indexes such as PaO_(2),PaCO_(2),and blood pH of Group A were better than those of Group B(P<0.05).The pulmonary function indexes such as peak expiratory flow(PEF),forced vital capacity(FVC),and forced expiratory volume in 1 second(FEV_(1))of Group A were better than those of Group B,P<0.05.Moreover,the patients in Group A were generally more satisfied with the care given compared to the patients in Group B(P<0.05).Conclusion:Personalized comprehensive care improves blood gas indexes,enhances lung function,accelerates the relief of symptoms,and also enhances patient satisfaction in severe pneumonia patients.展开更多
This paper proposes a personalized headrelated transfer function(HRTF)prediction method based on Light GBM using anthropometric data.Considering the overfitting problems of the current training-based prediction method...This paper proposes a personalized headrelated transfer function(HRTF)prediction method based on Light GBM using anthropometric data.Considering the overfitting problems of the current training-based prediction methods,we use Light GBM and a specific network structure to prevent over-fitting and enhance the prediction performance.By decomposing and combining the data to be predicted,we set up 90 Light GBM models to separately predict the 90instants of HRTF in log domain.At the same time,the method of 10-fold cross-validation is used to score the accuracy of the model.For models with scores below 80 points,Bayesian optimization is used to adjust model hyperparameters to obtain a better model structure.The results obtained by Light GBM are evaluated with spectral distortion(SD)which can show the fitting error between the prediction and the original data.The mean SD values of both ears on the whole test set are 2.32 d B and 2.28 d B respectively.Compared with the non-linear regression method and the latest method,SD value of Light GBM-based method relatively decreases by 83.8%and 48.5%.展开更多
In the inflammatory microenvironment,there are numerous exosomes secreted by immune cells(Macrophages,neutrophils,dendritic cells),mesenchymal stem cells(MSCs)and platelets as intercellular communicators,which partici...In the inflammatory microenvironment,there are numerous exosomes secreted by immune cells(Macrophages,neutrophils,dendritic cells),mesenchymal stem cells(MSCs)and platelets as intercellular communicators,which participate in the regulation of inflammation by modulating gene expression and releasing anti-inflammatory factors.Due to their good biocompatibility,accurate targeting,low toxicity and immunogenicity,these exosomes are able to selectively deliver therapeutic drugs to the site of inflammation through interactions between their surface-antibody or modified ligand with cell surface receptors.Therefore,the role of exosome-based biomimetic delivery strategies in inflammatory diseases has attracted increasing attention.Here we review current knowledge and techniques for exosome identification,isolation,modification and drug loading.More importantly,we highlight progress in using exosomes to treat chronic inflammatory diseases such as rheumatoid arthritis(RA),osteoarthritis(OA),atherosclerosis(AS),and inflammatory bowel disease(IBD).Finally,we also discuss their potential and challenges as anti-inflammatory drug carriers.展开更多
Diffuse large B-cell lymphoma(DLBCL)and follicular lymphoma(FL)are the most common forms of aggressive and indolent lymphoma,respectively.The majority of patients are cured by standard R-CHOP immunochemotherapy,but 30...Diffuse large B-cell lymphoma(DLBCL)and follicular lymphoma(FL)are the most common forms of aggressive and indolent lymphoma,respectively.The majority of patients are cured by standard R-CHOP immunochemotherapy,but 30%–40%of DLBCL and 20%of FL patients relapse or are refractory(R/R).DLBCL and FL are phenotypically and genetically hereterogenous B-cell neoplasms.To date,the diagnosis of DLBCL and FL has been based on morphology,immunophenotyping and cytogenetics.However,next-generation sequencing(NGS)is widening our understanding of the genetic basis of the B-cell lymphomas.In this review we will discuss how integrating the NGS-based characterization of somatic gene mutations with diagnostic or prognostic value in DLBCL and FL could help refine B-cell lymphoma classification as part of a multidisciplinary pathology work-up.We will also discuss how molecular testing can identify candidates for clinical trials with targeted therapies and help predict therapeutic outcome to currently available treatments,including chimeric antigen receptor T-cell,as well as explore the application of circulating cell-free DNA,a non-invasive method for patient monitoring.We conclude that molecular analyses can drive improvements in patient outcomes due to an increased understanding of the different pathogenic pathways affected by each DLBCL subtype and indolent FL vs R/R FL.展开更多
In recent years,the type and quantity of news are growing rapidly,and it is not easy for users to find the news they are interested in the massive amount of news.A news recommendation system can score and predict the ...In recent years,the type and quantity of news are growing rapidly,and it is not easy for users to find the news they are interested in the massive amount of news.A news recommendation system can score and predict the candidate news,and finally recommend the news with high scores to users.However,existing user models usually only consider users’long-term interests and ignore users’recent interests,which affects users’usage experience.Therefore,this paper introduces gated recurrent unit(GRU)sequence network to capture users’short-term interests and combines users’short-term interests and long-terminterests to characterize users.While existing models often only use the user’s browsing history and ignore the variability of different users’interest in the same news,we introduce additional user’s ID information and apply the personalized attention mechanism for user representation.Thus,we achieve a more accurate user representation.We also consider the risk of compromising user privacy if the user model training is placed on the server side.To solve this problem,we design the training of the user model locally on the client side by introducing a federated learning framework to keep the user’s browsing history on the client side.We further employ secure multiparty computation to request news representations from the server side,which protects privacy to some extent.Extensive experiments on a real-world news dataset show that our proposed news recommendation model has a better improvement in several performance evaluation metrics.Compared with the current state-of-the-art federated news recommendation models,our model has increased by 0.54%in AUC,1.97%in MRR,2.59%in nDCG@5%,and 1.89%in nDCG@10.At the same time,because we use a federated learning framework,compared with other centralized news recommendation methods,we achieve privacy protection for users.展开更多
Mesenchymal stromal/stem cells(MSCs)are currently applied in regenerative medicine and tissue engineering.Numerous clinical studies have indicated that MSCs from different tissue sources can provide therapeutic benefi...Mesenchymal stromal/stem cells(MSCs)are currently applied in regenerative medicine and tissue engineering.Numerous clinical studies have indicated that MSCs from different tissue sources can provide therapeutic benefits for patients.MSCs derived from either human adult or perinatal tissues have their own unique advantages in their medical practices.Usually,clinical studies are conducted by using of cultured MSCs after thawing or short-term cryopreserved-then-thawed MSCs prior to administration for the treatment of a wide range of diseases and medical disorders.Currently,cryogenically banking perinatal MSCs for potential personalized medicine for later use in lifetime has raised growing interest in China as well as in many other countries.Meanwhile,this has led to questions regarding the availability,stability,consistency,multipotency,and therapeutic efficiency of the potential perinatal MSC-derived therapeutic products after longterm cryostorage.This opinion review does not minimize any therapeutic benefit of perinatal MSCs in many diseases after short-term cryopreservation.This article mainly describes what is known about banking perinatal MSCs in China and,importantly,it is to recognize the limitation and uncertainty of the perinatal MSCs stored in cryobanks for stem cell medical treatments in whole life.This article also provides several recommendations for banking of perinatal MSCs for potentially future personalized medicine,albeit it is impossible to anticipate whether the donor will benefit from banked MSCs during her/his lifetime.展开更多
Keloids,which are abnormal manifestations of wound healing,can result in significant functional impairment and aesthetic deformities.The pathogenesis of keloids is multifaceted and complex and influenced by various fa...Keloids,which are abnormal manifestations of wound healing,can result in significant functional impairment and aesthetic deformities.The pathogenesis of keloids is multifaceted and complex and influenced by various factors,such as genetics,the environment,and immune responses.The evolution of keloid treatment has progressed from traditional surgical excision to a contemporary combination of therapies including injection and radiation treatments,among others.This article provides a comprehensive review of keloid pathogenesis and treatment,emphasizing the latest advances in the field.Ultimately,this review underscores the necessity for continued research to enhance our understanding of keloid pathogenesis and to devise more effective treatments for this challenging condition.展开更多
Software testing courses are characterized by strong practicality,comprehensiveness,and diversity.Due to the differences among students and the needs to design personalized solutions for their specific requirements,th...Software testing courses are characterized by strong practicality,comprehensiveness,and diversity.Due to the differences among students and the needs to design personalized solutions for their specific requirements,the design of the existing software testing courses fails to meet the demands for personalized learning.Knowledge graphs,with their rich semantics and good visualization effects,have a wide range of applications in the field of education.In response to the current problem of software testing courses which fails to meet the needs for personalized learning,this paper offers a learning path recommendation based on knowledge graphs to provide personalized learning paths for students.展开更多
The basic idea behind a personalized web search is to deliver search results that are tailored to meet user needs, which is one of the growing concepts in web technologies. The personalized web search presented in thi...The basic idea behind a personalized web search is to deliver search results that are tailored to meet user needs, which is one of the growing concepts in web technologies. The personalized web search presented in this paper is based on exploiting the implicit feedbacks of user satisfaction during her web browsing history to construct a user profile storing the web pages the user is highly interested in. A weight is assigned to each page stored in the user’s profile;this weight reflects the user’s interest in this page. We name this weight the relative rank of the page, since it depends on the user issuing the query. Therefore, the ranking algorithm provided in this paper is based on the principle that;the rank assigned to a page is the addition of two rank values R_rank and A_rank. A_rank is an absolute rank, since it is fixed for all users issuing the same query, it only depends on the link structures of the web and on the keywords of the query. Thus, it could be calculated by the PageRank algorithm suggested by Brin and Page in 1998 and used by the google search engine. While, R_rank is the relative rank, it is calculated by the methods given in this paper which depends mainly on recording implicit measures of user satisfaction during her previous browsing history.展开更多
Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: T...Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.展开更多
Osteoporosis has emerged as a significant health issue among postmenopausal women.Addressing this concern necessitates a multifaceted approach encompassing genetics,pharmacogenomics,bone turnover markers,lifestyle fac...Osteoporosis has emerged as a significant health issue among postmenopausal women.Addressing this concern necessitates a multifaceted approach encompassing genetics,pharmacogenomics,bone turnover markers,lifestyle factors,concurrent medical conditions,biomarkers,and advanced imaging techniques.Nonetheless,challenges in terms of cost-effectiveness and ethical considerations do exist.Fortunately,the convergence of technological progress and research endeavors offers a promising trajectory.The integration of genetic testing and pharmacogenomics into clinical practice holds substantial potential.This integration empowers healthcare professionals to forecast treatment responses and pinpoint individuals with elevated susceptibility,thereby enabling the implementation of tailored and efficacious interventions that optimize outcomes–personalized medicine.Given the intricate nature of osteoporosis,personalized strategies stand to greatly benefit women grappling with this condition.Further research and collaborative efforts are imperative to propel advancements within this domain,paving the way for further breakthroughs.展开更多
Gamification in education enables for the holistic optimization of the learning process,empowering learners to ameliorate their digital,cognitive,emotional and social skills,via their active experimentation with game ...Gamification in education enables for the holistic optimization of the learning process,empowering learners to ameliorate their digital,cognitive,emotional and social skills,via their active experimentation with game design elements,accompanying pertinent pedagogical objectives of interest.This paper focuses on a cross-platform,innovative,gamified,educational learning system product,funded by the Hellenic Republic Ministry of Development and Investments:howlearn.By applying gamification techniques,in 3D virtual environments,within which,learners fulfil STEAM(Science,Technology,Engineering,Arts and Mathematics)-related Experiments(Simulations,Virtual Labs,Interactive Storytelling Scenarios,Decision Making Case Studies),howlearn covers learners’subject material,while,simultaneously,functioning,as an Authoring Gamification Tool and as a Game Metrics Repository;users’metrics are being,dynamically,analyzed,through Machine Learning Algorithms.Consequently,the System learns from the data and learners receive Personalized Feedback Report Dashboards of their overall performance,weaknesses,interests and general class competency.A Custom Recommendation System(Collaborative Filtering,Content-Based Filtering)then supplies suggestions,representing the best matches between Experiments and learners,while also focusing on the reinforcement of the learning weaknesses of the latter.Ultimately,by optimizing the Accuracy,Performance and Predictive capability of the Personalized Feedback Report,we provide learners with scientifically valid performance assessments and educational recommendations,thence intensifying sustainable,learner-centered education.展开更多
Objective:This study aims to explore the impact of personalized education on the awareness rate of protective knowledge among inpatients newly treated for pulmonary tuberculosis.Methods:325 initial pulmonary tuberculo...Objective:This study aims to explore the impact of personalized education on the awareness rate of protective knowledge among inpatients newly treated for pulmonary tuberculosis.Methods:325 initial pulmonary tuberculosis inpatients admitted to our hospital between January 2018 and December 2022 were selected as the research subjects.Using the randomized controlled trial method,they were divided into an experimental group of 163 cases and a control group of 162 cases.The experimental group received personalized education,including personalized guidance on patients'disease awareness,treatment compliance,and preventive measures.The control group received routine health education.After the experiment,the awareness rate of protective knowledge of the two groups of patients was evaluated.Results:The total awareness rate of the experimental group was 76.07%,which was significantly higher than that of the control group,which was 55.63%,and the difference was statistically significant at P<0.05.The transmission route,suspicious symptoms,medical institutions,preferential policies,whether it can be cured,and the full awareness rate of the experimental group were all higher than those of the control group,and the difference was statistically significant at P<0.05.Conclusion:Personalized education positively impacts the awareness rate of protective knowledge among inpatients newly treated for pulmonary tuberculosis.Therefore,when hospitals provide medical services for newly diagnosed pulmonary tuberculosis patients,they should strengthen personalized education,improve patients'awareness of the disease and self-protection ability,and reduce the risk of infection.展开更多
With the significant advances in cancer genomics using next-generation sequencing technologies,genomic and molecular profilingbased precision medicine is used as a part of routine clinical test for guiding and selecti...With the significant advances in cancer genomics using next-generation sequencing technologies,genomic and molecular profilingbased precision medicine is used as a part of routine clinical test for guiding and selecting the most appropriate treatments for individual cancer patients.Although many molecular-targeted therapies for a number of actionable genomic alterations have been developed,the clinical application of such information is still limited to a small proportion of cancer patients.In this review,we summarize the current status of personalized drug selection based on genomic and molecular profiling and highlight the challenges how we can further utilize the individual genomic information.Cancer immunotherapies,including immune checkpoint inhibitors,would be one of the potential approaches to apply the results of genomic sequencing most effectively.Highly cancer-specific antigens derived from somatic mutations,the so-called neoantigens,occurring in individual cancers have been in focus recently.Cancer immunotherapies,which target neoantigens,could lead to a precise treatment for cancer patients,despite the challenge in accurately predicting neoantigens that can induce cytotoxic T cells in individual patients.Precise prediction of neoantigens should accelerate the development of personalized immunotherapy including cancer vaccines and T-cell receptor-engineered T-cell therapy for a broader range of cancer patients.展开更多
With the popularity of e-learning,personalization and ubiquity have become important aspects of online learning.To make learning more personalized and ubiquitous,we propose a learner model for a query-based personaliz...With the popularity of e-learning,personalization and ubiquity have become important aspects of online learning.To make learning more personalized and ubiquitous,we propose a learner model for a query-based personalized learning recommendation system.Several contextual attributes characterize a learner,but considering all of them is costly for a ubiquitous learning system.In this paper,a set of optimal intrinsic and extrinsic contexts of a learner are identified for learner modeling.A total of 208 students are surveyed.DEMATEL(Decision Making Trial and Evaluation Laboratory)technique is used to establish the validity and importance of the identified contexts and find the interdependency among them.The acquiring methods of these contexts are also defined.On the basis of these contexts,the learner model is designed.A layered architecture is presented for interfacing the learner model with a query-based personalized learning recommendation system.In a ubiquitous learning scenario,the necessary adaptive decisions are identified to make a personalized recommendation to a learner.展开更多
Esophageal squamous cell carcinoma continues to heavily burden clinicians worldwide. Researchers have discovered the genomic landscape of esophageal squamous cell carcinoma, which holds promise for an era of personali...Esophageal squamous cell carcinoma continues to heavily burden clinicians worldwide. Researchers have discovered the genomic landscape of esophageal squamous cell carcinoma, which holds promise for an era of personalized oncology care. One of the most pressing problems facing this issue is to improve the understanding of the newly available genomic data, and identify the driver-gene mutations, pathways, and networks. The emergence of a legion of novel targeted agents has generated much hope and hype regarding more potent treatment regimens, but the accuracy of drug selection is still arguable. Other problems, such as cancer heterogeneity, drug resistance, exceptional responders, and side effects, have to be surmounted. Evolving topics in personalized oncology, such as interpretation of genomics data, issues in targeted therapy, research approaches for targeted therapy, and future perspectives, will be discussed in this editorial.展开更多
Colorectal cancer(CRC)in the elderly is extremely common but only a few clinicians are familiar with the complexity of issues which present in the geriatric population.In this phase of the life cycle,treatment is freq...Colorectal cancer(CRC)in the elderly is extremely common but only a few clinicians are familiar with the complexity of issues which present in the geriatric population.In this phase of the life cycle,treatment is frequently suboptimal.Despite the fact that,nowadays,older people tend to be healthier than in previous generations,surgical undertreatment is frequently encountered.On the other hand,surgical overtreatment in the vulnerable or frail patient can lead to unacceptable postoperative outcomes with high mortality or persistent disability.Unfortunately,due to the geriatric patient being traditionally excluded from randomized controlled trials for a variety of factors(heterogeneity,frailty,etc.),there is a dearth of evidence-based clinical guidelines for the management of these patients.The objective of this review was to summarize the most relevant clinical studies available in order to assist clinicians in the management of CRC in the elderly.More than in any other patient group,both surgical and non-surgical management strategies should be carefully individualized in the elderly population affected by CRC.Although cure and sphincter preservation are the primary goals,many other variables need to be taken into account,such as maintenance of cognitive status,independence,life expectancy and quality of life.展开更多
Pancreatic cancer is an extremely aggressive disease; although progress has been made in the last few years, the prognosis of these patients remains dismal. FOLFIRINOX is now considered a standard treatment in first-l...Pancreatic cancer is an extremely aggressive disease; although progress has been made in the last few years, the prognosis of these patients remains dismal. FOLFIRINOX is now considered a standard treatment in first-line setting, since it demonstrated an improved overall and progression-free survival vs gemcitabine alone. However, the enthusiasm over the benefit of this three-drug regimen is tempered by the associated increased toxicity profile, and many efforts have been made to improve the feasibility of this schedule. After a more recent phase Ⅲ trial showing an improved outcome over gemcitabine, the combination of gemcitabine/nab-paclitaxel emerged as another standard first-line treatment. However, this treatment is also associated with more side effects. In addition, despite initial promising data on the predictive role of SPARClevels, recent studies showed that these levels are not associated with nab-paclitaxel efficacy. The choice to use this treatment over FOLFIRINOX is therefore a topic of debate, also because no validated biomarkers to guide FOLFIRINOX treatment are available. In the era of actionable mutations and target agents it would be desirable to identify molecular factors or biomarkers to predict response to therapy in order to maximize the efficacy of treatment and avoid useless toxic effects for non-responding patients. However, until today the milestone of treatment for pancreatic cancer remains chemotherapy combinations, without predictive or monitoring tools existing to optimize therapy. This review analyzes the state-of-the-art treatments, promises and limitations of targeted therapies, ongoing trials and future perspectives, including potential role of microR NAs as predictive biomarkers.展开更多
AIM To assess the efficacy and safety of a new treatment modality, cellular immune therapy based on personalized peptide vaccination(PPV-DC-CTL) combined with radiotherapy, for treating advanced hepatocellular carcino...AIM To assess the efficacy and safety of a new treatment modality, cellular immune therapy based on personalized peptide vaccination(PPV-DC-CTL) combined with radiotherapy, for treating advanced hepatocellular carcinoma(HCC). METHODS A total of nine patients with advanced HCC were enrolled. Multidisciplinary consultation confirmed that all the patients definitely had no opportunity of surgery, because four patients had multiple liver metastases(the number of liver lesions > 3), one patient had liver metastases and portal vein tumor thrombosis, one patient had lung and bone metastases, two patients had liver and lung metastases and one patient had liver metastasis and peritoneal metastasis. Patients with metastasis were treated with precise radiotherapy combined with PPV-DC-CTL.RESULTS Following radiotherapy and one to three cycles of PPV-DC-CTL treatment, AFP levels were significantly decreased in six patients and imaging assessment of the lesions showed a partial response(PR) in three patients and stable disease in the other three patients. The response rate was 33% and disease control rate was 66%. This regimen was found to be safe and well tolerated. None of the patients developed liver or kidney side effects. Only one patient developed grade Ⅱ bone marrow suppression and the remaining patients had no significant hematological side effects.CONCLUSION Radiotherapy combined with PPV-DC-CTL provides a new therapeutic strategy for patients with advanced HCC, which is well tolerated, safe, feasible and effective.展开更多
Mobile operators face the challenge of how to best design a service-centric network that can effectively process the rapidly increasing number of bandwidth-intensive user requests while providing a higher quality of e...Mobile operators face the challenge of how to best design a service-centric network that can effectively process the rapidly increasing number of bandwidth-intensive user requests while providing a higher quality of experience(QoE). Existing content distribution networks(CDN) and mobile content distribution networks(mCDN) have both latency and throughput limitations due to being multiple network hops away from end-users. Here, we first propose a new Personalized Edge Caching System(PECS) architecture that employs big data analytics and mobile edge caching to provide personalized service access at the edge of the mobile network. Based on the proposed system architecture, the edge caching strategy based on user behavior and trajectory is analyzed. Employing our proposed PECS strategies, we use data mining algorithms to analyze the personalized trajectory and service usage patterns. Our findings provide guidance on how key technologies of PECS can be employed for current and future networks. Finally, we highlight the challenges associated with realizing such a system in 5G and beyond.展开更多
文摘Objective:To explore the value of receiving personalized comprehensive care for patients with severe pneumonia.Methods:73 patients with severe pneumonia who visited the clinic from February 2020 to February 2023 were included in this study.The patients were randomly grouped into Group A and Group B.Group A received personalized comprehensive care whereas Group B received conventional care.The value of care was compared.Results:The duration of mechanical ventilation time,the time taken for fever and dyspnea relief,and the hospitalization time of Group A were shorter than those in Group B(P<0.05).The blood gas indexes such as PaO_(2),PaCO_(2),and blood pH of Group A were better than those of Group B(P<0.05).The pulmonary function indexes such as peak expiratory flow(PEF),forced vital capacity(FVC),and forced expiratory volume in 1 second(FEV_(1))of Group A were better than those of Group B,P<0.05.Moreover,the patients in Group A were generally more satisfied with the care given compared to the patients in Group B(P<0.05).Conclusion:Personalized comprehensive care improves blood gas indexes,enhances lung function,accelerates the relief of symptoms,and also enhances patient satisfaction in severe pneumonia patients.
基金supported by the cooperation between BIT and Ericssonpartially supported by the National Natural Science Foundation of China under Grants No.62071039。
文摘This paper proposes a personalized headrelated transfer function(HRTF)prediction method based on Light GBM using anthropometric data.Considering the overfitting problems of the current training-based prediction methods,we use Light GBM and a specific network structure to prevent over-fitting and enhance the prediction performance.By decomposing and combining the data to be predicted,we set up 90 Light GBM models to separately predict the 90instants of HRTF in log domain.At the same time,the method of 10-fold cross-validation is used to score the accuracy of the model.For models with scores below 80 points,Bayesian optimization is used to adjust model hyperparameters to obtain a better model structure.The results obtained by Light GBM are evaluated with spectral distortion(SD)which can show the fitting error between the prediction and the original data.The mean SD values of both ears on the whole test set are 2.32 d B and 2.28 d B respectively.Compared with the non-linear regression method and the latest method,SD value of Light GBM-based method relatively decreases by 83.8%and 48.5%.
基金by the National Natural Science Foundation of China[grant numbers 82170459,2021]Sichuan Science and Technology Program[grant numbers 2022YFH0007,2022]+2 种基金Sichuan Science and Technology Program[grant numbers 23NSFSC1345,2022]the Key Project of Application and Basic Research of Southwest Medical University[grant numbers 2021ZKZD016,2021]the Special Support Project for Young Talents of Southwest Medical University[grant numbers 2020-2022].
文摘In the inflammatory microenvironment,there are numerous exosomes secreted by immune cells(Macrophages,neutrophils,dendritic cells),mesenchymal stem cells(MSCs)and platelets as intercellular communicators,which participate in the regulation of inflammation by modulating gene expression and releasing anti-inflammatory factors.Due to their good biocompatibility,accurate targeting,low toxicity and immunogenicity,these exosomes are able to selectively deliver therapeutic drugs to the site of inflammation through interactions between their surface-antibody or modified ligand with cell surface receptors.Therefore,the role of exosome-based biomimetic delivery strategies in inflammatory diseases has attracted increasing attention.Here we review current knowledge and techniques for exosome identification,isolation,modification and drug loading.More importantly,we highlight progress in using exosomes to treat chronic inflammatory diseases such as rheumatoid arthritis(RA),osteoarthritis(OA),atherosclerosis(AS),and inflammatory bowel disease(IBD).Finally,we also discuss their potential and challenges as anti-inflammatory drug carriers.
文摘Diffuse large B-cell lymphoma(DLBCL)and follicular lymphoma(FL)are the most common forms of aggressive and indolent lymphoma,respectively.The majority of patients are cured by standard R-CHOP immunochemotherapy,but 30%–40%of DLBCL and 20%of FL patients relapse or are refractory(R/R).DLBCL and FL are phenotypically and genetically hereterogenous B-cell neoplasms.To date,the diagnosis of DLBCL and FL has been based on morphology,immunophenotyping and cytogenetics.However,next-generation sequencing(NGS)is widening our understanding of the genetic basis of the B-cell lymphomas.In this review we will discuss how integrating the NGS-based characterization of somatic gene mutations with diagnostic or prognostic value in DLBCL and FL could help refine B-cell lymphoma classification as part of a multidisciplinary pathology work-up.We will also discuss how molecular testing can identify candidates for clinical trials with targeted therapies and help predict therapeutic outcome to currently available treatments,including chimeric antigen receptor T-cell,as well as explore the application of circulating cell-free DNA,a non-invasive method for patient monitoring.We conclude that molecular analyses can drive improvements in patient outcomes due to an increased understanding of the different pathogenic pathways affected by each DLBCL subtype and indolent FL vs R/R FL.
文摘In recent years,the type and quantity of news are growing rapidly,and it is not easy for users to find the news they are interested in the massive amount of news.A news recommendation system can score and predict the candidate news,and finally recommend the news with high scores to users.However,existing user models usually only consider users’long-term interests and ignore users’recent interests,which affects users’usage experience.Therefore,this paper introduces gated recurrent unit(GRU)sequence network to capture users’short-term interests and combines users’short-term interests and long-terminterests to characterize users.While existing models often only use the user’s browsing history and ignore the variability of different users’interest in the same news,we introduce additional user’s ID information and apply the personalized attention mechanism for user representation.Thus,we achieve a more accurate user representation.We also consider the risk of compromising user privacy if the user model training is placed on the server side.To solve this problem,we design the training of the user model locally on the client side by introducing a federated learning framework to keep the user’s browsing history on the client side.We further employ secure multiparty computation to request news representations from the server side,which protects privacy to some extent.Extensive experiments on a real-world news dataset show that our proposed news recommendation model has a better improvement in several performance evaluation metrics.Compared with the current state-of-the-art federated news recommendation models,our model has increased by 0.54%in AUC,1.97%in MRR,2.59%in nDCG@5%,and 1.89%in nDCG@10.At the same time,because we use a federated learning framework,compared with other centralized news recommendation methods,we achieve privacy protection for users.
基金Supported by the Henan Province Science and Technique Bureau R&D Project,No.222102310228.
文摘Mesenchymal stromal/stem cells(MSCs)are currently applied in regenerative medicine and tissue engineering.Numerous clinical studies have indicated that MSCs from different tissue sources can provide therapeutic benefits for patients.MSCs derived from either human adult or perinatal tissues have their own unique advantages in their medical practices.Usually,clinical studies are conducted by using of cultured MSCs after thawing or short-term cryopreserved-then-thawed MSCs prior to administration for the treatment of a wide range of diseases and medical disorders.Currently,cryogenically banking perinatal MSCs for potential personalized medicine for later use in lifetime has raised growing interest in China as well as in many other countries.Meanwhile,this has led to questions regarding the availability,stability,consistency,multipotency,and therapeutic efficiency of the potential perinatal MSC-derived therapeutic products after longterm cryostorage.This opinion review does not minimize any therapeutic benefit of perinatal MSCs in many diseases after short-term cryopreservation.This article mainly describes what is known about banking perinatal MSCs in China and,importantly,it is to recognize the limitation and uncertainty of the perinatal MSCs stored in cryobanks for stem cell medical treatments in whole life.This article also provides several recommendations for banking of perinatal MSCs for potentially future personalized medicine,albeit it is impossible to anticipate whether the donor will benefit from banked MSCs during her/his lifetime.
文摘Keloids,which are abnormal manifestations of wound healing,can result in significant functional impairment and aesthetic deformities.The pathogenesis of keloids is multifaceted and complex and influenced by various factors,such as genetics,the environment,and immune responses.The evolution of keloid treatment has progressed from traditional surgical excision to a contemporary combination of therapies including injection and radiation treatments,among others.This article provides a comprehensive review of keloid pathogenesis and treatment,emphasizing the latest advances in the field.Ultimately,this review underscores the necessity for continued research to enhance our understanding of keloid pathogenesis and to devise more effective treatments for this challenging condition.
基金supported by the Special Funds for Basic Research of Central Universities(D5000220240)the Special Funds for Education and Teaching Reform in 2023(06410-23GZ230102)。
文摘Software testing courses are characterized by strong practicality,comprehensiveness,and diversity.Due to the differences among students and the needs to design personalized solutions for their specific requirements,the design of the existing software testing courses fails to meet the demands for personalized learning.Knowledge graphs,with their rich semantics and good visualization effects,have a wide range of applications in the field of education.In response to the current problem of software testing courses which fails to meet the needs for personalized learning,this paper offers a learning path recommendation based on knowledge graphs to provide personalized learning paths for students.
文摘The basic idea behind a personalized web search is to deliver search results that are tailored to meet user needs, which is one of the growing concepts in web technologies. The personalized web search presented in this paper is based on exploiting the implicit feedbacks of user satisfaction during her web browsing history to construct a user profile storing the web pages the user is highly interested in. A weight is assigned to each page stored in the user’s profile;this weight reflects the user’s interest in this page. We name this weight the relative rank of the page, since it depends on the user issuing the query. Therefore, the ranking algorithm provided in this paper is based on the principle that;the rank assigned to a page is the addition of two rank values R_rank and A_rank. A_rank is an absolute rank, since it is fixed for all users issuing the same query, it only depends on the link structures of the web and on the keywords of the query. Thus, it could be calculated by the PageRank algorithm suggested by Brin and Page in 1998 and used by the google search engine. While, R_rank is the relative rank, it is calculated by the methods given in this paper which depends mainly on recording implicit measures of user satisfaction during her previous browsing history.
文摘Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.
文摘Osteoporosis has emerged as a significant health issue among postmenopausal women.Addressing this concern necessitates a multifaceted approach encompassing genetics,pharmacogenomics,bone turnover markers,lifestyle factors,concurrent medical conditions,biomarkers,and advanced imaging techniques.Nonetheless,challenges in terms of cost-effectiveness and ethical considerations do exist.Fortunately,the convergence of technological progress and research endeavors offers a promising trajectory.The integration of genetic testing and pharmacogenomics into clinical practice holds substantial potential.This integration empowers healthcare professionals to forecast treatment responses and pinpoint individuals with elevated susceptibility,thereby enabling the implementation of tailored and efficacious interventions that optimize outcomes–personalized medicine.Given the intricate nature of osteoporosis,personalized strategies stand to greatly benefit women grappling with this condition.Further research and collaborative efforts are imperative to propel advancements within this domain,paving the way for further breakthroughs.
文摘Gamification in education enables for the holistic optimization of the learning process,empowering learners to ameliorate their digital,cognitive,emotional and social skills,via their active experimentation with game design elements,accompanying pertinent pedagogical objectives of interest.This paper focuses on a cross-platform,innovative,gamified,educational learning system product,funded by the Hellenic Republic Ministry of Development and Investments:howlearn.By applying gamification techniques,in 3D virtual environments,within which,learners fulfil STEAM(Science,Technology,Engineering,Arts and Mathematics)-related Experiments(Simulations,Virtual Labs,Interactive Storytelling Scenarios,Decision Making Case Studies),howlearn covers learners’subject material,while,simultaneously,functioning,as an Authoring Gamification Tool and as a Game Metrics Repository;users’metrics are being,dynamically,analyzed,through Machine Learning Algorithms.Consequently,the System learns from the data and learners receive Personalized Feedback Report Dashboards of their overall performance,weaknesses,interests and general class competency.A Custom Recommendation System(Collaborative Filtering,Content-Based Filtering)then supplies suggestions,representing the best matches between Experiments and learners,while also focusing on the reinforcement of the learning weaknesses of the latter.Ultimately,by optimizing the Accuracy,Performance and Predictive capability of the Personalized Feedback Report,we provide learners with scientifically valid performance assessments and educational recommendations,thence intensifying sustainable,learner-centered education.
文摘Objective:This study aims to explore the impact of personalized education on the awareness rate of protective knowledge among inpatients newly treated for pulmonary tuberculosis.Methods:325 initial pulmonary tuberculosis inpatients admitted to our hospital between January 2018 and December 2022 were selected as the research subjects.Using the randomized controlled trial method,they were divided into an experimental group of 163 cases and a control group of 162 cases.The experimental group received personalized education,including personalized guidance on patients'disease awareness,treatment compliance,and preventive measures.The control group received routine health education.After the experiment,the awareness rate of protective knowledge of the two groups of patients was evaluated.Results:The total awareness rate of the experimental group was 76.07%,which was significantly higher than that of the control group,which was 55.63%,and the difference was statistically significant at P<0.05.The transmission route,suspicious symptoms,medical institutions,preferential policies,whether it can be cured,and the full awareness rate of the experimental group were all higher than those of the control group,and the difference was statistically significant at P<0.05.Conclusion:Personalized education positively impacts the awareness rate of protective knowledge among inpatients newly treated for pulmonary tuberculosis.Therefore,when hospitals provide medical services for newly diagnosed pulmonary tuberculosis patients,they should strengthen personalized education,improve patients'awareness of the disease and self-protection ability,and reduce the risk of infection.
基金This work was partly supported by Japan Agency for Medical Research and Development(Grant Nos.17ck0106364h0003 and 20ck0106543h0001)the Japan Society for the Promotion of Science(Grant No.19H03522).
文摘With the significant advances in cancer genomics using next-generation sequencing technologies,genomic and molecular profilingbased precision medicine is used as a part of routine clinical test for guiding and selecting the most appropriate treatments for individual cancer patients.Although many molecular-targeted therapies for a number of actionable genomic alterations have been developed,the clinical application of such information is still limited to a small proportion of cancer patients.In this review,we summarize the current status of personalized drug selection based on genomic and molecular profiling and highlight the challenges how we can further utilize the individual genomic information.Cancer immunotherapies,including immune checkpoint inhibitors,would be one of the potential approaches to apply the results of genomic sequencing most effectively.Highly cancer-specific antigens derived from somatic mutations,the so-called neoantigens,occurring in individual cancers have been in focus recently.Cancer immunotherapies,which target neoantigens,could lead to a precise treatment for cancer patients,despite the challenge in accurately predicting neoantigens that can induce cytotoxic T cells in individual patients.Precise prediction of neoantigens should accelerate the development of personalized immunotherapy including cancer vaccines and T-cell receptor-engineered T-cell therapy for a broader range of cancer patients.
基金This work was supported by the College of Computer and Information Sciences,Prince Sultan University,Saudi Arabia.
文摘With the popularity of e-learning,personalization and ubiquity have become important aspects of online learning.To make learning more personalized and ubiquitous,we propose a learner model for a query-based personalized learning recommendation system.Several contextual attributes characterize a learner,but considering all of them is costly for a ubiquitous learning system.In this paper,a set of optimal intrinsic and extrinsic contexts of a learner are identified for learner modeling.A total of 208 students are surveyed.DEMATEL(Decision Making Trial and Evaluation Laboratory)technique is used to establish the validity and importance of the identified contexts and find the interdependency among them.The acquiring methods of these contexts are also defined.On the basis of these contexts,the learner model is designed.A layered architecture is presented for interfacing the learner model with a query-based personalized learning recommendation system.In a ubiquitous learning scenario,the necessary adaptive decisions are identified to make a personalized recommendation to a learner.
基金Supported by Grants from Beijing Academic Leaders Program,NO.2009-2-17Beijing Natural Science Foundation,No.7102029+5 种基金Capital Medical Developed Research Fund,No.2007-1023New Scholar Star Program of Ministry of EducationNational Basic Research Program of China,No.2011CB504300Specialized Research Fund for the Doctoral Program of Higher Education,No.20130001110108National Natural Science Foundation for Distinguished Young Scholars,No.81301748Science Fund for Creative Research Groups of the National Natural Science Foundation of China,No.IRT13003 and No.NIH/NCI U54 CA156735
文摘Esophageal squamous cell carcinoma continues to heavily burden clinicians worldwide. Researchers have discovered the genomic landscape of esophageal squamous cell carcinoma, which holds promise for an era of personalized oncology care. One of the most pressing problems facing this issue is to improve the understanding of the newly available genomic data, and identify the driver-gene mutations, pathways, and networks. The emergence of a legion of novel targeted agents has generated much hope and hype regarding more potent treatment regimens, but the accuracy of drug selection is still arguable. Other problems, such as cancer heterogeneity, drug resistance, exceptional responders, and side effects, have to be surmounted. Evolving topics in personalized oncology, such as interpretation of genomics data, issues in targeted therapy, research approaches for targeted therapy, and future perspectives, will be discussed in this editorial.
文摘Colorectal cancer(CRC)in the elderly is extremely common but only a few clinicians are familiar with the complexity of issues which present in the geriatric population.In this phase of the life cycle,treatment is frequently suboptimal.Despite the fact that,nowadays,older people tend to be healthier than in previous generations,surgical undertreatment is frequently encountered.On the other hand,surgical overtreatment in the vulnerable or frail patient can lead to unacceptable postoperative outcomes with high mortality or persistent disability.Unfortunately,due to the geriatric patient being traditionally excluded from randomized controlled trials for a variety of factors(heterogeneity,frailty,etc.),there is a dearth of evidence-based clinical guidelines for the management of these patients.The objective of this review was to summarize the most relevant clinical studies available in order to assist clinicians in the management of CRC in the elderly.More than in any other patient group,both surgical and non-surgical management strategies should be carefully individualized in the elderly population affected by CRC.Although cure and sphincter preservation are the primary goals,many other variables need to be taken into account,such as maintenance of cognitive status,independence,life expectancy and quality of life.
基金Supported by AIRC/Start-Up(to Giovannetti E)Istituto Toscano Tumori ITT-2011(to Caparello C,Funel N,Vasile E and Giovannetti E)+2 种基金Regione Toscana“Fas Salute”(to Funel N and Giovannetti E)Bennink Foundation(to Meijer LL,Le Large TY,Giovannetti E and Kazemier G)CCA Foundation(to Giovannetti E)
文摘Pancreatic cancer is an extremely aggressive disease; although progress has been made in the last few years, the prognosis of these patients remains dismal. FOLFIRINOX is now considered a standard treatment in first-line setting, since it demonstrated an improved overall and progression-free survival vs gemcitabine alone. However, the enthusiasm over the benefit of this three-drug regimen is tempered by the associated increased toxicity profile, and many efforts have been made to improve the feasibility of this schedule. After a more recent phase Ⅲ trial showing an improved outcome over gemcitabine, the combination of gemcitabine/nab-paclitaxel emerged as another standard first-line treatment. However, this treatment is also associated with more side effects. In addition, despite initial promising data on the predictive role of SPARClevels, recent studies showed that these levels are not associated with nab-paclitaxel efficacy. The choice to use this treatment over FOLFIRINOX is therefore a topic of debate, also because no validated biomarkers to guide FOLFIRINOX treatment are available. In the era of actionable mutations and target agents it would be desirable to identify molecular factors or biomarkers to predict response to therapy in order to maximize the efficacy of treatment and avoid useless toxic effects for non-responding patients. However, until today the milestone of treatment for pancreatic cancer remains chemotherapy combinations, without predictive or monitoring tools existing to optimize therapy. This review analyzes the state-of-the-art treatments, promises and limitations of targeted therapies, ongoing trials and future perspectives, including potential role of microR NAs as predictive biomarkers.
基金Supported by National Natural Science Foundation of China,No.81401969Jiangsu Provincial Medical Youth Talent,No.QNRC2016043the Key Medical Science and Technology Development Project of Nanjing,No.ZKX16032
文摘AIM To assess the efficacy and safety of a new treatment modality, cellular immune therapy based on personalized peptide vaccination(PPV-DC-CTL) combined with radiotherapy, for treating advanced hepatocellular carcinoma(HCC). METHODS A total of nine patients with advanced HCC were enrolled. Multidisciplinary consultation confirmed that all the patients definitely had no opportunity of surgery, because four patients had multiple liver metastases(the number of liver lesions > 3), one patient had liver metastases and portal vein tumor thrombosis, one patient had lung and bone metastases, two patients had liver and lung metastases and one patient had liver metastasis and peritoneal metastasis. Patients with metastasis were treated with precise radiotherapy combined with PPV-DC-CTL.RESULTS Following radiotherapy and one to three cycles of PPV-DC-CTL treatment, AFP levels were significantly decreased in six patients and imaging assessment of the lesions showed a partial response(PR) in three patients and stable disease in the other three patients. The response rate was 33% and disease control rate was 66%. This regimen was found to be safe and well tolerated. None of the patients developed liver or kidney side effects. Only one patient developed grade Ⅱ bone marrow suppression and the remaining patients had no significant hematological side effects.CONCLUSION Radiotherapy combined with PPV-DC-CTL provides a new therapeutic strategy for patients with advanced HCC, which is well tolerated, safe, feasible and effective.
基金supported in part by the Fundamental Research Funds for the Central Universities of China (No. 2018CUCTJ078, CUC18A002-2)
文摘Mobile operators face the challenge of how to best design a service-centric network that can effectively process the rapidly increasing number of bandwidth-intensive user requests while providing a higher quality of experience(QoE). Existing content distribution networks(CDN) and mobile content distribution networks(mCDN) have both latency and throughput limitations due to being multiple network hops away from end-users. Here, we first propose a new Personalized Edge Caching System(PECS) architecture that employs big data analytics and mobile edge caching to provide personalized service access at the edge of the mobile network. Based on the proposed system architecture, the edge caching strategy based on user behavior and trajectory is analyzed. Employing our proposed PECS strategies, we use data mining algorithms to analyze the personalized trajectory and service usage patterns. Our findings provide guidance on how key technologies of PECS can be employed for current and future networks. Finally, we highlight the challenges associated with realizing such a system in 5G and beyond.
