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Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.
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Children are one of the groups most influenced by COVID-19-related social distancing, and a lack of contact with peers can limit their opportunities to develop social and collaborative skills. However, remote socialization and collaboration as an alternative approach is still a great challenge for children. This paper presents MR.Brick, a Mixed Reality (MR) educational game system that helps children adapt to remote collaboration. A controlled experimental study involving 24 children aged six to ten was conducted to compare MR.Brick with the traditional video game by measuring their social and collaborative skills and analyzing their multi-modal playing behaviours. The results showed that MR.Brick was more conducive to children's remote collaboration experience than the traditional video game. Given the lack of training systems designed for children to collaborate remotely, this study may inspire interaction design and educational research in related fields. © 2023 ACM.
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Remdesivir (RDV) is an antiviral medication used most recently for the treatment of COVID-19. Although no adverse effects were observed on perinatal parameters in reproductive and development toxicology studies at doses up to four-fold clinical area under the curve (AUC) exposures, some researchers have reported that therapeutic levels of RDV may impair early embryogenesis, as observed by in vitro studies. In addition, the influence of prenatal RDV exposure on maternal IgG transfer in the placenta is still unknown. Administration of RDV in pregnant humanized mouse model (Tg32), which expresses the human Fc gamma receptor and transporter (FCGRT) gene, was used to further evaluate potential effects on IgG transfer and concurrent perinatal endpoints. Animals were dosed daily from gestational days (GDs) 10- 14 with 25 mg/kg RDV (GS-5734) via intravenous injection (n=3-5 per group). Concurrent vehicle control animals were dosed intravenously with 12% sulfobutyl ether- beta-cyclodextrin in water (pH3.5;NaOH/HCl). All animals were administered 2 mg/kg human IgG via intravenous injection on GD 14. Placentae and fetuses were collected from dams on GD 14, 15, 16, and 18 and evaluated using histopathology and qPCR for inflammation markers. No abnormal morphologies (necrosis/apoptosis) of placentae were observed between the concurrent control and RDVdosed groups. Additionally, no differences in maternal body weights were observed. There were no statistically significant differences in placenta weights. There were no statistically significant changes in pregnancy parameters (implantation sites and dead fetuses/litter) and fetal weights between the RDV-dosed group and concurrent controls at GD 14, 15, 16, and 18. No changes were observed in transcript levels of inflammation markers in the RDV-dosed group when compared to the concurrent control group. There was a slightly lower ratio of fetal IgG level to maternal IgG levels in the RDV-dosed group;however, no statistically significant differences were observed between the RDV-dosed group and concurrent controls on GD 14, 15, 16, and 18. Our results suggest that a daily dose of 25 mg/kg RDV on GDs 10-14 in humanized mice did not cause adverse effects on placenta and fetal development. (Funded by the Perinatal Health Center of Excellence: E0300201.).
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The following sections are included: • Introduction • Literature Review • Covid-ABS Model • Overview • Parameter Setting • Simulation Dynamics • A1 Mobility Patterns • Healthcare System Capacity • Contagion Spreading • Economic Transactions • Summary • Scenarios and Results • Scenarios Setting • Scenario 0 (Baseline): No Covid-19 Pandemic • Scenario 1: Take no Measures • Scenario 2: Work in Groups Every Other Week • Scenario 3: Work in Groups Every Other Week and Partial Lockdown • Scenario 4: Work in Groups Every Other Day • Scenario 5: Work in Groups Every Other Day and Partial Lockdown • Comparisons Among the Scenarios • Impact on the Supply Chain • Conclusion • References. © 2023 by World Scientific Publishing Co. Pte. Ltd.
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The global outbreak of coronavirus disease 2019 (COVID-19) has affected the urban mobility of nations around the world. The pandemic may even have a potentially lasting impact on travel behaviors during the post-pandemic stage. China has basically stopped the spread of COVID-19 and reopened the economy, providing an unprecedented environment for investigating post-pandemic travel behaviors. This study conducts multiple investigations to show the changes in travel behaviors in the post-pandemic stage, on the basis of empirical travel data in a variety of cities in China. Specifically, this study demonstrates the changes in road network travel speed in 57 case cities and the changes in subway ridership in 26 case cities. Comprehensive comparisons can indicate the potential modal share in the post-pandemic stage. Further, this study conducts a case analysis of Beijing, where the city has experienced two waves of COVID-19. The variations in travel speed in the road network of Beijing at different stages of the pandemic help reveal the public's responses towards the varying severity of the pandemic. Finally, a case study of the Yuhang district in Hangzhou is conducted to demonstrate the changes in traffic volume and vehicle travel distance amid the post-pandemic stage based on license plate recognition data. Results indicate a decline in subway trips in the post-pandemic stage among case cities. The vehicular traffic in cities with subways has recovered in peak hours on weekdays and has been even more congested than the pre-pandemic levels;whereas the vehicular traffic in cities without subways has not rebounded to pre-pandemic levels. This situation implies a potential modal shift from public transportation to private vehicular travel modes. Results also indicate that commuting traffic is sensitive to the severity of the pandemic. This may be because countermeasures, e.g., work-from-home and suspension of non-essential businesses, will be implemented if the pandemic restarts. The travel speed in non-peak hours and on non-workdays is higher than pre-pandemic levels, indicating that non-essential travel demand may be reduced and the public's vigilance towards the pandemic may continue to the post-pandemic stage. These findings can help improve policymaking strategies in the post-pandemic new normal. © 2023 American Society of Civil Engineers.
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Objective: To analyze relevant literature on Lianhua Qingwen preparations and clarify the research advances and hot spots in this field,so as to provide references for clinical rational application and further research. Method(s): Literature related to Lianhua Qingwen preparations in the recent 10 years was retrieved from six databases,including China National Knowledge InfrastructureCNKI,VIP,Wanfang Data, PubMed,and Web of Science,followed by management and analysis by NoteExpress and CiteSpace. Result(s): Finally,344 and 76 Chinese and English research articles were included,and the number of publications increased in recent years. The research articles were published in 162 Chinese and 48 English journals. Shijiazhuang Yiling Pharmaceutical Co.,Ltd. and Guangzhou Medical University were institutions with the largest number of Chinese and English publications,respectively. LIU Minyan was the author who had published the most articles. Keywords with high frequency included clinical efficacy,Lianhua Qingwen,inflammatory factors,traditional Chinese medicine,and coronavirus disease-2019COVID-19. Nineteen clusters,including clinical efficacy,Chinese medicine,Lianhua Qingwen,COVID-19,and influenza A virus,and 47 emergent keywords,including herpes zoster,pneumonia,inflammatory factors,influenza,and gut microbiota,were generated. Conclusion(s):Cooperation and exchanges in this field are insufficient. Research focuses on the clinical efficacy of Lianhua Qingwen in the treatment of COVID-19 and other diseases,pharmacological action and mechanism of antiviral drugs,and micro-mechanism research focuses on related pathways and target proteins,as well as the combination of Chinese and western medicines.Copyright © 2023, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
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Coronavirus disease 2019 (COVID-19) is still spreading worldwide. At present, no specific drug has been developed for the virus. Ulinastatin plays an important role in anti-inflammatory. Clinically, it is mainly used in acute pancreatitis, shock and disseminated intravascular coagulation. It also has the effects of antioxidant stress, anticoagulation and immune regulation, which may be of great significance to reduce the severity and mortality of COVID-19. Combined with the pharmacological effect of ulinastatin and its clinical application in the treatment of COVID-19 complications such as acute respiratory distress syndrome and sepsis lung injury, this paper discusses the feasibility of its application in COVID-19, so as to provide help for the clinical treatment and new drug research and development of this disease.Copyright © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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The outbreak of coronavirus disease 2019 (COVID-19) poses a major global threat. Although we have learned a lot about COVID-19 from clinical studies and autopsy findings, there is still a lot of confusion. One of the biggest controversies is whether severe COVID-19 can be diagnosed as acute respiratory distress syndrome (ARDS). Severe COVID-19 may meet ARDS Berlin criteria, but it differs from ARDS caused by other etiologies and is characterized by later onset time, relatively normal lung compliance in some cases, significant hypercapnia, lung CT findings, and significant coagulation activation in lungs. Some reports classify COVID-19-related ARDS into different phenotypes, but most of them are based on observational studies, with high bias. To date, we have not fully understood the pathophysiology of COVID-19-related ARDS. Premature phenotyping may mislead mechanical ventilation strategies. We expect evidence from large clinical studies.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.
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The COVID-19 pandemic has had a profound impact on the global community, and vaccination has been recognized as a crucial intervention. To gain insight into public perceptions of COVID-19 vaccines, survey studies and the analysis of social media platforms have been conducted. However, existing methods lack consideration of individual vaccination intentions or status and the relationship between public perceptions and actual vaccine uptake. To address these limitations, this study proposes a text classification approach to identify tweets indicating a user's intent or status on vaccination. A comparative analysis between the proportions of tweets from different categories and real-world vaccination data reveals notable alignment, suggesting that tweets may serve as a precursor to actual vaccination status. Further, regression analysis and time series forecasting were performed to explore the potential of tweet data, demonstrating the significance of incorporating tweet data in predicting future vaccination status. Finally, clustering was applied to the tweet sets with positive and negative labels to gain insights into underlying focuses of each stance. © 2023 ACM.
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Objective To explore the causes and feelings of delayed experience of seeking medical treatment in patients with advanced lung cancer, and to provide new insights for more targeted health education and medical care services. Methods A semi-structured in depth interview based on the theory of planned behavior was conducted among 30 patients with advanced lung cancer who experienced medical delay from November to December in 2021 admitted to First Affiliated Hospital of Guangxi Medical University. The interview content was analyzed and ed by using Colaizzi phenomenological analysis method and Nvivo11.0 software. Results The delay duration of 30 patients with advanced lung cancer ranged from 90 to 213 days. Four subject groups were extracted by generic analysis: the cause of delay, the cause to seek medical help, the worry about the disease, and solutions. Conclusions The delay behavior of patients with advanced lung cancer is affected by external situational factors such as symptom severity, family economic capacity, social support, accessibility of health services, prevalence of novel coronavirus, and subjective psychological factors such as sense of stigma and burden of disease, it is necessary to reduce the occurrence of medical delay in patients with advanced lung cancer through the comprehensive management strategy of multiple channels. © 2023 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.
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Air-borne pollutants in particulate matter (PM) form, produced either physically during industrial processes or certain biological routes, have posed a great threat to human health. Particularly during the current COVID-19 pandemic, effective filtration of the virus is an urgent matter worldwide. In this review, we first introduce some fundamentals about PM, including its source and classification, filtration mechanisms, and evaluation parameters. Advanced filtration materials and their functions are then summarized, among which polymers and MOFs are discussed in detail together with their antibacterial performance. The discussion on the application is divided into end-of-pipe treatment and source control. Finally, we conclude this review with our prospective view on future research in this area. (c) 2022 Institute of Process Engineering, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Background: Neutrophil extracellular traps (NETs) are composed of processed chromatin bound to granular and selected cytoplasmic proteins and released by neutrophils. NETs consist of smooth filaments composed of stacked nucleosomes. Fully hydrated NETs have a cloud-like appearance and occupy a space 10-15-fold larger than the volume of the cells they originate from. DNases are the enzymes that cleave extracellular DNA including NETs. Together with their protective role in microbial infections, NETs are involved in multiple pathological processes and represent key events in a variety of pathologies including cancer, autoimmunity, and cardiovascular disease. Sites of NETs concentration are dangerous for the host if the process of NETs formation becomes chronic or the mechanism of NETs removal does not work. NETosis has been linked to the development of periodontitis, cystic fibrosis, type 2 diabetes, COVID-19 or rheumatoid arthritis as well as cancer progression. Purpose(s): Thus, the destruction of NETs is of primary significance in many pathologies. In our approach, we are focusing on mimicking one of the natural mechanisms of destroying excessive NETs by delivering deoxyribonuclease I to the specific site of pathological NETs accumulation by modifying the nanoparticles using an anti-nucleosome monoclonal antibody (2C5). The antibody is specific to nucleosomes and can recognize histones in NETs. DNase I is U.S. Food and Drug Administration (FDA)-approved active component and is commonly used in therapeutic methods of modern medicine for cystic fibrosis to clear extracellular DNA fibers in the lungs and systemic lupus erythematosus. Recent findings have also shown the effectiveness of DNase I in the digestion of NETs. However, the low serum stability and fast deactivation by environmental stimuli have been considered as the limiting factors for clinical applications of DNase I, which can be overcome by its targeted specific delivery in pharmaceutical nanocarriers. Method(s): In this study, we generate NETs in vitro using human neutrophils and HL-60 cells differentiated into granulocyte-like cells. We used interleukin-8, lipopolysaccharide from E.Coli (LPS), phorbol myristate acetate (PMA), and calcium ionophore A23187 (CI) to generate the NETs. We confirmed the specificity of 2C5 toward NETs by ELISA, which showed that it binds to NETs with the specificity like that for purified nucleohistone substrate. We further utilized that feature to create two delivery systems (liposomes and micelles) for DNAse I enzyme to destroy NETs, which was confirmed by staining NETs with SYTOX Green dye and followed by flow cytometric measurements and microscopic images. Conclusion(s): Our results suggest that 2C5 could be used to identify and visualize NETs and serve as a ligand for NET-targeted diagnostics and therapies. Also, we proved that our carrier can successfully deliver DNase to NETs to provide their degradation.
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Objective To investigated the in vitro antiviral activity of chloroquine and hydroxychloroquine sulfate against different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Prototype, Beta, Delta, Omicron) by changing the sequence of drug and virus introduction. Methods Prophylactic treatment: Vero E6 cells were treated with Chloroquine or hydroxychloroquine sulfate (200.00, 150.00, 100.00, 50.00, 16.70, 5.55, 1.85, 0.62, 0.21 micromol.L-1) for 1 h, then the virus was added and incubated for another 2 h. The virus-drug mixture was repalced with fresh medium until the end of the experiment. Post-entry treatment: Vero E6 cells were incubated with virus for 2 h, then the virus was removed and the cells were cultured with drug-containing medium until the end of the experiment. Full-time treatment: Vero E6 cells were pretreated with the drug for 1 h ahead, then virus was added and incubated for another 2 h. The virus-drug mixture was discarded and the cells were cultured with drug-containing medium until the end of the experiment. After 72 h of culture, the cells were observed to see whether they became round and shed to determine the cytopathic situation, and the semi-maximum effect concentration (EC50) and drug selection index (SI) were calculated. Results Both drugs were less effective in preventing SARS-CoV-2. Chloroquine/hydroxychloroquine sulfate showed good antiviral activity under both therapeutic and full-time treatment. EC50 of hydroxychloroquine sulfate was less than chloroquine, SI was greater than chloroquine, antiviral effect of hydroxychloroquine sulfate was better than chloroquine. The antiviral effect of chloroquine (EC50 = 0.904 micromol.L-1) and hydroxychloroquine sulfate (EC50 = 0.143 micromol.L-1) was more significant against Omicron variant than other variants under therapeutic and full-time treatment conditions. Conclusion Chloroquine/hydroxychloroquine sulfate showed good antiviral activity under both therapeutic and full-time treatment, and both drugs were significantly more active against the Omicron variant than the other variants.Copyright © 2023 Authors. All rights reserved.
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Dental services are yet to return to a semblance of normality owing to the fear and uncertainty associated with the possible airborne transmission of diseases. The present study aims to investigate the impacts of environmental conditions [changes in ventilation location, ventilation rate, and relative humidity (RH)] and variations in dental patient's breathing rate on droplet transmission during dental service. Computational fluid dynamics simulation was performed based on our previous experimental study during ultrasonic scaling. The impacts of different factors were numerically analyzed by the final fate and proportion of emitted droplets in the dental surgery environment. The results revealed that about 85% of droplets deposited near the dental treatment region, where the patient's torso, face, and floor (dental chair) accounted for around 63%, 11%, and 8.5%, respectively. The change in the ventilation location had a small impact on the deposition of larger droplets (> 60 mu m), and a spatial region with high droplet mass concentration would be presented near the dental professional. The change in the ventilation rate from 5 to 8 ACH led to a 1.5% increment in the fraction of escaped droplets. 50% RH in dental environments was recommended to prevent droplets' fast evaporation and potential mold. Variations in the patient's breathing rate had little effect on the final fate and proportion of emitted droplets. Overall, environmental factors are suggested to maintain 50% RH and larger ACH in dental surgery environments. The findings can give policymakers insights into the role of environmental factors on infection control.
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OBJECTIVES: COVID-19 has brought challenges to the health of all mankind. It is particularly important to promote the construction of a 'Healthy China' and build a 'healthy community'. The aims of this study were to construct a reasonable conceptual framework for the Healthy City concept and to assess Healthy City construction in China. STUDY DESIGN: This study combined qualitative and quantitative research. METHODS: This study proposes the concept model of 'nature-human body-Healthy City' and accordingly constructs an evaluation index system for the construction of a Healthy City that integrates five dimensions, namely, the medical level, economic basis, cultural development, social services, and ecological environment to explore the spatial and temporal heterogeneity of Healthy City construction in China. Finally, the influencing factors of Healthy City construction patterns are explored using GeoDetector. RESULTS: (1) The pace of Healthy City construction is generally on the rise; (2) the construction of Healthy Cities exhibits significant global spatial autocorrelation and gradually increasing agglomeration. The spatial distribution of cold hotspot areas was relatively stable; (3) medical and health progress is an important factor; the level of economic development is the leading support; the endowment of resources and environment is the basic condition; public service support provides important support; and scientific and technological innovation capabilities provide technical support for the construction of a Healthy City. CONCLUSIONS: The spatial heterogeneity of Healthy City construction in China is evident, and the state of spatial distribution is relatively stable. The spatial pattern of Healthy City construction is shaped by a combination of factors. Our research will provide a scientific basis for promoting the construction of Healthy Cities and helping to implement the Health China Strategy.
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Novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) is spreading rapidly around the world and has become a global pandemic. Meteorological factors have been recognized as one of the critical factors that influence the epidemiology and transmission of infectious diseases. In this context, the World Meteorological Organization and scholars at home and abroad have paid extensive attention to the relationships of environment and meteorology with COVID-19. This paper systematically collected and sorted out relevant domestic and foreign studies, and reviewed the latest research progress on the impact of environmental and meteorological factors on COVID-19, classifying them into typical meteorological factors (such as temperature, humidity, and wind speed), local environmental factors (such as indoor enclosed environment, ventilation, disinfection, and air conditioning), and air pollution. Current research evidence suggests that typical meteorological factors, local environmental factors, and air pollutants are closely related to the transmission of COVID-19. However, the results of different studies are still divergent due to uncertainty about the influencing mechanism, and differences in research areas and methods. This review elucidated the importance of environmental and meteorological factors to the spread of COVID-19, and provided useful implications for the control of further large-scale transmission of COVID-19 and the development of prevention and control strategies under different environmental and meteorological conditions.Copyright © 2022, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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Traffic flow affects the transmission and distribution of pathogens. The large-scale traffic flow that emerges with the rapid development of global economic integration plays a significant role in the epidemic spread. In order to more accurately indicate the time characteristics of the traffic-driven epidemic spread, new parameters are added to represent the change of the infection rate parameter over time on the traffic-driven Susceptible-Infected-Recovered (SIR) epidemic spread model. Based on the collected epidemic data in Hebei Province, a linear regression method is performed to estimate the infection rate parameter and an improved traffic-driven SIR epidemic spread dynamics model is established. The impact of different link-closure rules, traffic flow and average degree on the epidemic spread is studied. The maximum instantaneous number of infected nodes and the maximum number of ever infected nodes are obtained through simulation. Compared to the simulation results of the links being closed between large-degree nodes, closing the links between small-degree nodes can effectively inhibit the epidemic spread. In addition, reducing traffic flow and increasing the average degree of the network can also slow the epidemic outbreak. The study provides the practical scientific basis for epidemic prevention departments to conduct traffic control during epidemic outbreaks.
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Work stress impacts people's daily lives. Their well-being can be improved if the stress is monitored and addressed in time. Attaching physiological sensors are used for such stress monitoring and analysis. Such approach is feasible only when the person is physically presented. Due to the transfer of the life from offline to online, caused by the COVID-19 pandemic, remote stress measurement is of high importance. This study investigated the feasibility of estimating participants' stress levels based on remote physiological signal features (rPPG) and behavioral features (facial expression and motion) obtained from facial videos recorded during online video meetings. Remote physiological signal features provided higher accuracy of stress estimation (78.75%) as compared to those based on motion (70.00%) and facial expression (73.75%) features. Moreover, the fusion of behavioral and remote physiological signal features increased the accuracy of stress estimation up to 82.50%. © 2022 Owner/Author.
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Separation membranes play a crucial role in the functioning of artificial organs, such as hemodialysis machines, membrane oxygenators, and artificial liver models. The current COVID-19 pandemic has highlighted the importance of these technologies in the medical community. However, membrane technology in artificial organs faces significant challenges, such as the clearance of low-middle-molecule and protein-bound toxins and limited blood compatibility. In this review, we will discuss the separation mechanisms, separation performance, and biocompatibility of different types of separation membranes used in artificial organs. We will also highlight the opportunities and challenges for next-generation membrane technology in this field, including the need for improved clearance of toxins and increased blood compatibility, as well as the potential for microfluidic devices.