Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences最新文献

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}