Lung cancer is one of the most common types of cancer in human clinical cases. It has been a worldwide problem for hundreds of years. Currently, there are more research done on blocking the pathway between PD-1 and PD-L1 using drugs or antibodies; however, there are not that many papers that write about other ways to block the pathway such as knocking down ASN 45 in the PD-1 and PD-L1 binding domain using CRISPR to change PD-1’s structure, therefore, regulating the binding. This study investigates the effect of genetic engineered T cells on NSCLC xenograft mice. CRISPR to mutate PD1 amino acids(ASN 45) in the PDL1 binding domain in effector T cells and then inject the cells into NSCLC xenograft mice and see if tumor shrinks more than Wild Type PD1 control injections. Also measure the activation of the t cells in the tumor by isolating them by FACS and using FACS for CD69, pSrc, pErk to detect activation. Negative control is Wild Type PD1, positive control is Keytruda treatments with Wild Type PD1. The result of this study will provide essential information for the future research of PD-1 mutation. By mutating certain amino acid that is on the binding domain of PD-1 would change the structure of the glycoprotein and therefore avoid the combination of PD-1 and PD-L1, which would then forbid cancerous cells from evading immune detection.
{"title":"Mutating PD-1 to Avoid PD-L1 From Binding Therefore Regulates NSCLC","authors":"Yih-wen Chen","doi":"10.1145/3570773.3570800","DOIUrl":"https://doi.org/10.1145/3570773.3570800","url":null,"abstract":"Lung cancer is one of the most common types of cancer in human clinical cases. It has been a worldwide problem for hundreds of years. Currently, there are more research done on blocking the pathway between PD-1 and PD-L1 using drugs or antibodies; however, there are not that many papers that write about other ways to block the pathway such as knocking down ASN 45 in the PD-1 and PD-L1 binding domain using CRISPR to change PD-1’s structure, therefore, regulating the binding. This study investigates the effect of genetic engineered T cells on NSCLC xenograft mice. CRISPR to mutate PD1 amino acids(ASN 45) in the PDL1 binding domain in effector T cells and then inject the cells into NSCLC xenograft mice and see if tumor shrinks more than Wild Type PD1 control injections. Also measure the activation of the t cells in the tumor by isolating them by FACS and using FACS for CD69, pSrc, pErk to detect activation. Negative control is Wild Type PD1, positive control is Keytruda treatments with Wild Type PD1. The result of this study will provide essential information for the future research of PD-1 mutation. By mutating certain amino acid that is on the binding domain of PD-1 would change the structure of the glycoprotein and therefore avoid the combination of PD-1 and PD-L1, which would then forbid cancerous cells from evading immune detection.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122450331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional Chinese Medicine (TCM) has a lot of valuable experience in the treatment of spleen and stomach diseases. Over the years, a large number of clinical resources have been accumulated in electronic medical records (EMR), and researchers have also published many related research papers. In order to make better use of these data resources, this paper introduces a process and method to build a knowledge graph of spleen and stomach diseases in TCM, and takes the EMR of TCM for spleen and stomach diseases and related literature inscriptions as data sources, and selects four commonly used named entity recognition (NER) models for comparative experiments of NER. Then relation extraction is executed. Finally, the neo4j graphical database is used to realize the construction and visualization of the knowledge graph of the spleen and stomach diseases of TCM. The experimental results showed that the BERT-BiLSTM-CRF model is the best in extracting entities, extracting symptoms, Chinese and Western medical diagnoses, and other medical entities with an average F1 value of 88.31%, and extracting relationships between medical entities using the BiGRU-Attention model with an Acc value of 88.26%. The knowledge graph of spleen and stomach diseases constructed can be retrieved under neo4j from a number of diseases, symptoms, and others. The knowledge graph of spleen and stomach diseases can be retrieved from multiple perspectives, such as disease and symptoms under neo4j. The knowledge graph constructed in this paper will help to deeply explore the potential knowledge and intrinsic relationships in the clinical treatment data resources of spleen and stomach diseases of TCM, help to better inherit the experience, and improve the clinical level of TCM.
中医在脾胃疾病的治疗上有许多宝贵的经验。多年来，电子病历(electronic medical records, EMR)积累了大量的临床资源，研究者也发表了许多相关的研究论文。为了更好地利用这些数据资源，本文介绍了构建中医脾胃疾病知识图谱的流程和方法，并以中医脾胃疾病的EMR和相关文献铭文为数据源，选取了四种常用的命名实体识别(NER)模型进行NER对比实验。然后执行关系提取。最后，利用neo4j图形数据库实现中医脾胃病知识图谱的构建和可视化。实验结果表明，BERT-BiLSTM-CRF模型在提取实体、提取症状、中西医学诊断和其他医学实体方面效果最好，平均F1值为88.31%，使用BiGRU-Attention模型提取医学实体之间关系的Acc值为88.26%。在neo4j下，可以从许多疾病、症状和其他疾病中检索构建的脾胃疾病知识图谱。脾胃疾病的知识图谱可以从多个角度检索，例如neo4j下的疾病和症状。本文构建的知识图谱有助于深入挖掘中医脾胃病临床治疗数据资源中的潜在知识和内在关系，有助于更好地传承经验，提高中医临床水平。
{"title":"Construction of Knowledge Graph of Spleen and Stomach Diseases in Traditional Chinese Medicine Based on Neo4j","authors":"Can Li, Feng Lin, Dan Xie","doi":"10.1145/3570773.3570865","DOIUrl":"https://doi.org/10.1145/3570773.3570865","url":null,"abstract":"Traditional Chinese Medicine (TCM) has a lot of valuable experience in the treatment of spleen and stomach diseases. Over the years, a large number of clinical resources have been accumulated in electronic medical records (EMR), and researchers have also published many related research papers. In order to make better use of these data resources, this paper introduces a process and method to build a knowledge graph of spleen and stomach diseases in TCM, and takes the EMR of TCM for spleen and stomach diseases and related literature inscriptions as data sources, and selects four commonly used named entity recognition (NER) models for comparative experiments of NER. Then relation extraction is executed. Finally, the neo4j graphical database is used to realize the construction and visualization of the knowledge graph of the spleen and stomach diseases of TCM. The experimental results showed that the BERT-BiLSTM-CRF model is the best in extracting entities, extracting symptoms, Chinese and Western medical diagnoses, and other medical entities with an average F1 value of 88.31%, and extracting relationships between medical entities using the BiGRU-Attention model with an Acc value of 88.26%. The knowledge graph of spleen and stomach diseases constructed can be retrieved under neo4j from a number of diseases, symptoms, and others. The knowledge graph of spleen and stomach diseases can be retrieved from multiple perspectives, such as disease and symptoms under neo4j. The knowledge graph constructed in this paper will help to deeply explore the potential knowledge and intrinsic relationships in the clinical treatment data resources of spleen and stomach diseases of TCM, help to better inherit the experience, and improve the clinical level of TCM.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132670956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cryptophycin is a type a Cyanobacteria known for its anti-proliferation effect. In this experiment the effect of Cp-309 and Cryptophycin derivative on pancreatic tumor cells would be investigated. Mouse model was used, flow cytometry, Kaplan-Meier, tumor-size graph and weight monitor graph was plotted. These results were compared between different mouse models, treated with Germzar/5-FU/ONIVYDE, Cp-309 and derivative respectively. These experiments were meant to compare the effect of Cp-309 and derivative with Germzar/5-FU/ONIVYDE to determine clinical potential of Cp-309 and derivative.
{"title":"Cryptophycin's Clinical Use in Xenograft Pancreatic Tumor Cell Treatments Based on Computer Science","authors":"Xi-ning Yao","doi":"10.1145/3570773.3570781","DOIUrl":"https://doi.org/10.1145/3570773.3570781","url":null,"abstract":"Cryptophycin is a type a Cyanobacteria known for its anti-proliferation effect. In this experiment the effect of Cp-309 and Cryptophycin derivative on pancreatic tumor cells would be investigated. Mouse model was used, flow cytometry, Kaplan-Meier, tumor-size graph and weight monitor graph was plotted. These results were compared between different mouse models, treated with Germzar/5-FU/ONIVYDE, Cp-309 and derivative respectively. These experiments were meant to compare the effect of Cp-309 and derivative with Germzar/5-FU/ONIVYDE to determine clinical potential of Cp-309 and derivative.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130996104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fengyuan Bai, Renjun Cai, Jiajia Fan, Tao Liu, Qiu-ling Xu
Sciatica is a common chronic pain, which poses a great pain and suffering to patients and a serious burden to individuals and society. In recent years, acupuncture therapy, moxibustion therapy, and acupuncture combined with Chinese medicine techniques have made some achievements in the treatment of sciatica, and acupuncture has great advantages in the treatment of sciatica. However, with the rapid development of information technology in contemporary society, traditional acupuncture research methods can no longer cope with the development of modern acupuncture, and artificial intelligence technology has greatly improved acupuncture research methods, which is an acupuncture research method worthy of in-depth promotion and application. In the new era of artificial intelligence, in this article, to further explore the clinical efficacy characteristics of acupuncture in the treatment of sciatica and to explore the best treatment options, the clinical research status of common acupuncture therapies in the treatment of sciatica in recent years is reviewed.
{"title":"Clinical research progress of acupuncture in the treatment of sciatica","authors":"Fengyuan Bai, Renjun Cai, Jiajia Fan, Tao Liu, Qiu-ling Xu","doi":"10.1145/3570773.3570791","DOIUrl":"https://doi.org/10.1145/3570773.3570791","url":null,"abstract":"Sciatica is a common chronic pain, which poses a great pain and suffering to patients and a serious burden to individuals and society. In recent years, acupuncture therapy, moxibustion therapy, and acupuncture combined with Chinese medicine techniques have made some achievements in the treatment of sciatica, and acupuncture has great advantages in the treatment of sciatica. However, with the rapid development of information technology in contemporary society, traditional acupuncture research methods can no longer cope with the development of modern acupuncture, and artificial intelligence technology has greatly improved acupuncture research methods, which is an acupuncture research method worthy of in-depth promotion and application. In the new era of artificial intelligence, in this article, to further explore the clinical efficacy characteristics of acupuncture in the treatment of sciatica and to explore the best treatment options, the clinical research status of common acupuncture therapies in the treatment of sciatica in recent years is reviewed.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122916220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abnormal arch can have a persistent impact on children's gait, causing severe foot diseases include hallux valgus and foot valgus, even causing irreversible interference with gait in adulthood. Therefore, it is of very important theoretical and practical significance to realize the early identification and abnormal arch identification of school-age children. In this paper, a method for rapid identification of foot arch based on plantar pressure was used to conduct foot pressure test and foot arch identification experiments on 16 school-age children of grade 3. The study found that 12.5% of the male students had flatfoot on their left foot and 62.5% had flatfoot on their right foot; Among the female students, 25% were left flatfoot and 37.5% were right flatfoot. It can be seen that the abnormal arch in school-age children is more common, which should be paid more attention to. In addition, medical diagnosis and intervention treatment are performed as early as possible.
{"title":"Research on identification of abnormal foot arch in school-age children based on foot pressure analysis","authors":"Hongjie Chen, Yuan-Ming Pan, Jiaxin Zhao, Yawen Zhou, Mingyang Li, Xupeng Wang","doi":"10.1145/3570773.3570799","DOIUrl":"https://doi.org/10.1145/3570773.3570799","url":null,"abstract":"Abnormal arch can have a persistent impact on children's gait, causing severe foot diseases include hallux valgus and foot valgus, even causing irreversible interference with gait in adulthood. Therefore, it is of very important theoretical and practical significance to realize the early identification and abnormal arch identification of school-age children. In this paper, a method for rapid identification of foot arch based on plantar pressure was used to conduct foot pressure test and foot arch identification experiments on 16 school-age children of grade 3. The study found that 12.5% of the male students had flatfoot on their left foot and 62.5% had flatfoot on their right foot; Among the female students, 25% were left flatfoot and 37.5% were right flatfoot. It can be seen that the abnormal arch in school-age children is more common, which should be paid more attention to. In addition, medical diagnosis and intervention treatment are performed as early as possible.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124779681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: To explore the influence of posterior teeth loss on temporomandibular joint by three-dimensional morphological analysis. Methods: 3D data were obtained by holographic scanning and measuring the models of teeth and chin, and the 3D models were constructed by computer. Results: Under normal conditions, the maximum compressive stress of temporomandibular joint is located in the anterior medial side of condylar cartilage, the stress of condylar head is higher than that of medial and lateral sides, and the compressive stress of articular disc is the highest in medial and lateral sides. The compressive stress of the anterior condyle slope is significantly higher than that of the corresponding part of the articular disc (P<0.01). Conclusion: The change of temporomandibular joint pressure caused by tooth loss will be greatly improved after denture restoration. Therefore, in the case of missing posterior teeth, especially when a large number of molars and loose ends are missing, in order to prevent periodontal disease and temporomandibular joint disease, it is strongly required to repair them as soon as possible.
{"title":"Three-dimensional morphology was used to analyze the influence of posterior teeth loss on temporomandibular joint","authors":"Chongzhi Yin, Yuanli Zhang","doi":"10.1145/3570773.3570786","DOIUrl":"https://doi.org/10.1145/3570773.3570786","url":null,"abstract":"Objective: To explore the influence of posterior teeth loss on temporomandibular joint by three-dimensional morphological analysis. Methods: 3D data were obtained by holographic scanning and measuring the models of teeth and chin, and the 3D models were constructed by computer. Results: Under normal conditions, the maximum compressive stress of temporomandibular joint is located in the anterior medial side of condylar cartilage, the stress of condylar head is higher than that of medial and lateral sides, and the compressive stress of articular disc is the highest in medial and lateral sides. The compressive stress of the anterior condyle slope is significantly higher than that of the corresponding part of the articular disc (P<0.01). Conclusion: The change of temporomandibular joint pressure caused by tooth loss will be greatly improved after denture restoration. Therefore, in the case of missing posterior teeth, especially when a large number of molars and loose ends are missing, in order to prevent periodontal disease and temporomandibular joint disease, it is strongly required to repair them as soon as possible.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"18 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123647177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The extraction of local texture information using the traditional Local Binary Mode (LBP) is limited, and it ignores the representation of global texture information, which leads to an unsatisfactory outcome for the texture classification task. Local Binary Mode (LBP) has been widely used in texture classification. This paper utilizes LBPV to resolve this issue (Local Binary Pattern Variance) and proposes a novel adaptive weight joint multi-scale LBPV2 texture picture classification algorithm. The typical variance weight is replaced by the square of covariance as the cumulative weight of the histogram in this method, and the multi-scale texture information is retrieved using an adaptive weight and multi-scale scheme. Thus, the texture classification performance is further improved. Simulation experiments on the commonly used Outex reference texture database show that the proposed adaptive weight combined with multi-scale LBPV2 can significantly improve the performance of texture classification. In the fields of computer vision and pattern recognition, texture analysis is a fundamental visual problem with a wide range of applications, including object detection, remote sensing, content-based image retrieval, and medical picture analysis. For various research questions, numerous academics have put forth various LBP versions in recent years. The dominant LBP [2] model was proposed by Liao et al. in 2009, and it was empirically chosen as the best model out of all the models. Guo et al. proposed LBPV [3], which expresses local contrast information into the straight square of texture images using a local variance confidence and global matching scheme. In order to increase classification performance, the author also proposed a Completed Local Binary Pattern (CLBP) [4] in the same year. This pattern combines three complimentary groups—CLBPS, CLBPM, and CLBPC—using a combined probability distribution. To enhance the traditional local binary pattern's noise resistance and texture expression, Liu et al. proposed the extension of LBP [5] in 2012. Relevant scholars developed a pixel block sampling structure and local neighborhood intensity relationship model for texture classification in 2013 on the basis of conventional LBP [6], and produced notable results. More recently, in 2017, a multiscale LBP [7] was presented, transcending the constraints of conventional LBP representation and not only reflecting the microscopic texture structure but also effectively expressing the macroscopic texture structure of bigger areas. Although LBP and its variations have produced a number of remarkable texture classification results, there are still a lot of possible shortcomings. The expression of nearly entirely lost global information, for instance, results in inadequate texture classification results because most LBP versions are only capable of representing local texture information [1]. In order to significantly improve texture performance, this paper proposed a new me
传统的局部二值模式(local Binary Mode, LBP)在提取局部纹理信息时存在局限性，并且忽略了全局纹理信息的表示，导致纹理分类任务的结果不理想。局部二值模式(LBP)在纹理分类中得到了广泛的应用。本文利用LBPV算法解决了局部二值模式方差问题，提出了一种新的自适应加权联合多尺度LBPV2纹理图像分类算法。该方法以协方差平方代替典型方差权重作为直方图的累积权重，采用自适应权值和多尺度方案检索多尺度纹理信息。从而进一步提高了纹理分类性能。在常用的Outex参考纹理数据库上进行的仿真实验表明，本文提出的自适应权值与多尺度LBPV2相结合可以显著提高纹理分类的性能。在计算机视觉和模式识别领域，纹理分析是一个具有广泛应用的基本视觉问题，包括目标检测、遥感、基于内容的图像检索和医学图像分析。针对不同的研究问题，近年来众多学者提出了不同的LBP版本。支配性LBP[2]模型由Liao等人于2009年提出，并经经验选择为所有模型中的最佳模型。Guo等人提出了LBPV[3]，利用局部方差置信度和全局匹配方案，将纹理图像的局部对比度信息表达为直方形。为了提高分类性能，作者还在同年提出了一种完整的局部二值模式(complete Local Binary Pattern, CLBP)[4]。此模式使用组合概率分布将三个互补组(clbps、CLBPM和clbpc)组合在一起。为了增强传统局部二值模式的抗噪性和纹理表达能力，Liu等人在2012年提出了LBP的扩展[5]。2013年，相关学者在传统LBP的基础上开发了一种用于纹理分类的像素块采样结构和局部邻域强度关系模型[6]，并取得了显著的成果。最近，在2017年，提出了一种多尺度LBP[7]，超越了传统LBP表示的限制，不仅可以反映微观纹理结构，还可以有效地表达更大区域的宏观纹理结构。尽管LBP及其变化产生了许多显著的纹理分类结果，但仍然存在许多可能存在的缺点。例如，由于大多数LBP版本仅能够表示局部纹理信息，因此几乎完全丢失全局信息的表达导致纹理分类结果不充分[1]。为了显著提高纹理图像的分类性能，本文提出了一种自适应权重联合多尺度LBPV2纹理图像分类方法。通过引入自适应权重分类，将LBPV计算方法中的方差权重替换为方差平方作为直方图的累积权重。
{"title":"An adaptive weight texture classification method based on Local Binary Pattern Variance","authors":"Hao Chen, Wending Tang, Ran Tao","doi":"10.1145/3570773.3570843","DOIUrl":"https://doi.org/10.1145/3570773.3570843","url":null,"abstract":"The extraction of local texture information using the traditional Local Binary Mode (LBP) is limited, and it ignores the representation of global texture information, which leads to an unsatisfactory outcome for the texture classification task. Local Binary Mode (LBP) has been widely used in texture classification. This paper utilizes LBPV to resolve this issue (Local Binary Pattern Variance) and proposes a novel adaptive weight joint multi-scale LBPV2 texture picture classification algorithm. The typical variance weight is replaced by the square of covariance as the cumulative weight of the histogram in this method, and the multi-scale texture information is retrieved using an adaptive weight and multi-scale scheme. Thus, the texture classification performance is further improved. Simulation experiments on the commonly used Outex reference texture database show that the proposed adaptive weight combined with multi-scale LBPV2 can significantly improve the performance of texture classification. In the fields of computer vision and pattern recognition, texture analysis is a fundamental visual problem with a wide range of applications, including object detection, remote sensing, content-based image retrieval, and medical picture analysis. For various research questions, numerous academics have put forth various LBP versions in recent years. The dominant LBP [2] model was proposed by Liao et al. in 2009, and it was empirically chosen as the best model out of all the models. Guo et al. proposed LBPV [3], which expresses local contrast information into the straight square of texture images using a local variance confidence and global matching scheme. In order to increase classification performance, the author also proposed a Completed Local Binary Pattern (CLBP) [4] in the same year. This pattern combines three complimentary groups—CLBPS, CLBPM, and CLBPC—using a combined probability distribution. To enhance the traditional local binary pattern's noise resistance and texture expression, Liu et al. proposed the extension of LBP [5] in 2012. Relevant scholars developed a pixel block sampling structure and local neighborhood intensity relationship model for texture classification in 2013 on the basis of conventional LBP [6], and produced notable results. More recently, in 2017, a multiscale LBP [7] was presented, transcending the constraints of conventional LBP representation and not only reflecting the microscopic texture structure but also effectively expressing the macroscopic texture structure of bigger areas. Although LBP and its variations have produced a number of remarkable texture classification results, there are still a lot of possible shortcomings. The expression of nearly entirely lost global information, for instance, results in inadequate texture classification results because most LBP versions are only capable of representing local texture information [1]. In order to significantly improve texture performance, this paper proposed a new me","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125351549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, three filtering algorithms in SLAM for autonomous mobile robots will be referred to, which are Kalman Filter Family (Kalman Filter and Extended Kalman Fiter), Particle Filtering (PF) and Rao-Blackwellized Particle Filter (RBPF). For a mobile robot, localization and mapping are the key indicators that determine whether it can be called “autonomous” or not. The algorithm is the most important of them all. In the case of SLAM algorithms, there exist three algorithms based on optimization, based on filtering, and based on Georgia Tech Smoothing and Mapping (GTSAM). The filtering algorithm, as the oldest algorithm, is the focus of this paper. And a large number of existing studies in the broader literature have examined that Bayesian filtering is the basis of KF, EKF and PF. In the following paragraphs, in order to better represent the development process of filtering algorithms, we will start with Bayesian filtering and introduce its theoretical framework, as well as the origin and derivation process of several subsequent filters.
{"title":"Overview of Filtering Algorithms for Autonomous Mobile Robots","authors":"Zihao Zhang","doi":"10.1145/3570773.3570871","DOIUrl":"https://doi.org/10.1145/3570773.3570871","url":null,"abstract":"In this paper, three filtering algorithms in SLAM for autonomous mobile robots will be referred to, which are Kalman Filter Family (Kalman Filter and Extended Kalman Fiter), Particle Filtering (PF) and Rao-Blackwellized Particle Filter (RBPF). For a mobile robot, localization and mapping are the key indicators that determine whether it can be called “autonomous” or not. The algorithm is the most important of them all. In the case of SLAM algorithms, there exist three algorithms based on optimization, based on filtering, and based on Georgia Tech Smoothing and Mapping (GTSAM). The filtering algorithm, as the oldest algorithm, is the focus of this paper. And a large number of existing studies in the broader literature have examined that Bayesian filtering is the basis of KF, EKF and PF. In the following paragraphs, in order to better represent the development process of filtering algorithms, we will start with Bayesian filtering and introduce its theoretical framework, as well as the origin and derivation process of several subsequent filters.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116877966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hook effect is now widely present in sandwich lateral flow assay reactions, which refers to the phenomenon of false-negative results due to inappropriate antigen-antibody ratios, and can greatly limit the true color development of test strip strips under high sample concentration conditions, thus limiting quantitative detection. In this study, we developed a novel deep learning-based discrimination algorithm to accurately distinguish whether the strips are affected by the hook effect, which not only saves cost and manpower, but also clears the way for subsequent immunochromatographic quantification.
{"title":"Distinguishing the Hook Effect in Lateral Flow Sandwich Immunoassays Using Deep-Learning Algorithm","authors":"Shang Liu, Jianbin Tang","doi":"10.1145/3570773.3570792","DOIUrl":"https://doi.org/10.1145/3570773.3570792","url":null,"abstract":"Hook effect is now widely present in sandwich lateral flow assay reactions, which refers to the phenomenon of false-negative results due to inappropriate antigen-antibody ratios, and can greatly limit the true color development of test strip strips under high sample concentration conditions, thus limiting quantitative detection. In this study, we developed a novel deep learning-based discrimination algorithm to accurately distinguish whether the strips are affected by the hook effect, which not only saves cost and manpower, but also clears the way for subsequent immunochromatographic quantification.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126036237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 (SARS-CoV-2) pandemic has become an urgent issue and attracted extensive attention all over the world due to its strong infectivity and high mortality. The outbreak of COVID-19 has a negative impact on the development of the world economy, brought inconvenience to people's daily life and threatened our health safety. Considering the global spread of COVID-19 disease with the tremendous number of infections and also deaths, understanding the transmission modes of this virus to formulate effective prevention and control strategies is of vital importance. This paper reviews three main transmission routes (contact, droplet and aerosol) and three possible transmission routes (maternal-infant, fecal-oral and cross-species) of COVID-19, which has reference value and guiding significance for the prevention and control of COVID-19 in the future.
{"title":"Research progress on transmission routes of COVID-19","authors":"Dazhang Yang, Zhikang Yang, Qing-Min Zhang","doi":"10.1145/3570773.3570821","DOIUrl":"https://doi.org/10.1145/3570773.3570821","url":null,"abstract":"The COVID-19 (SARS-CoV-2) pandemic has become an urgent issue and attracted extensive attention all over the world due to its strong infectivity and high mortality. The outbreak of COVID-19 has a negative impact on the development of the world economy, brought inconvenience to people's daily life and threatened our health safety. Considering the global spread of COVID-19 disease with the tremendous number of infections and also deaths, understanding the transmission modes of this virus to formulate effective prevention and control strategies is of vital importance. This paper reviews three main transmission routes (contact, droplet and aerosol) and three possible transmission routes (maternal-infant, fecal-oral and cross-species) of COVID-19, which has reference value and guiding significance for the prevention and control of COVID-19 in the future.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133923162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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