Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences最新文献_第2页

The Analysis of Tiotropium bromide and Roflumilast: Two Potent Medications for Chronic Obstructive Pulmonary Disease 两种治疗慢性阻塞性肺疾病的有效药物噻托溴铵和罗氟司特的分析

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570833

Yuanzi Xu

引用次数: 0

The effect of Hg content in water bodies for precision medicine of Hg disease 水体中汞含量对汞病精准医学的影响

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570876

Dongfang Yang, Zaibin Chang

引用次数: 0

A bioinformatics-based approach to study the mechanism of acupuncture for primary dysmenorrhea 基于生物信息学的针刺治疗原发性痛经的机制研究

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570839

Jiajia Fan, W. Yue, Renjun Cai, Dian-Cheng Tang, Tao Liu, Qiu-ling Xu

{"title":"A bioinformatics-based approach to study the mechanism of acupuncture for primary dysmenorrhea","authors":"Jiajia Fan, W. Yue, Renjun Cai, Dian-Cheng Tang, Tao Liu, Qiu-ling Xu","doi":"10.1145/3570773.3570839","DOIUrl":"https://doi.org/10.1145/3570773.3570839","url":null,"abstract":"Objective: To explore the mechanism of acupuncture in guanyuan, sanyinjiao and zusanli for the treatment of primary dysmenorrhea based on bioinformatics and network topology methods. Methods: The targets of acupuncture at guanyuan (CV4), sanyinjiao (SP6) and zusanli (ST36) were retrieved using the PubMed database. The targets related to primary dysmenorrhea were collected using GeneCards database. The common targets of acupuncture and primary dysmenorrhea were obtained by using VENN diagram and used to establish a protein-protein interaction (PPI) network in the STRING database. Cytoscape software (version 3.9.1) was used to screen the key targets in PPI networks. Gene Ontology (GO) functional enrichment and Kyoto Genome Encyclopedia (KEGG) were used to obtain correspongding pathway analysis and visualization. Results: 24 intersection targets of acupuncture CV4, SP6, ST36 and primary dysmenorrhea were screened, and 10 key targets were screened, which were IL6, IL1B, STAT3, TP53, CXCL8, POMC, AKT1, PTGS2, VEGFA and IL17A. Go function enrichment analysis yielded 169 biological processes (BP), 17 molecular functions (MF) and 9 cellular component (CC). KEGG pathway enrichment screening yielded 93 signal pathways. Conclusion: Acupuncture treatment of primary dysmenorrhea involves multiple targets and pathways. Acupuncture may exert therapeutic effects on primary dysmenorrhea through TNF signaling pathway, cAMP signaling pathway, IL-17 signaling pathway, HIF-1 signaling pathway, Pi3k-akt signaling pathway and MAPK Signaling pathway via affecting inflammatory response, platelet aggregation and improving hypoxia.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"17 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":"126865724","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}

引用次数: 0

Astragaloside IV May Bind to CD25 Gene to Repress HBV Induced Regulatory T Cell Expression 黄芪甲苷可能与CD25基因结合抑制HBV诱导的调节性T细胞表达

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570831

Kr Wang

引用次数: 0

Non-Hodgkin Lymphoma CAR T Cells: Enhancement on Synnotch Signaling, GLUT1 expression, and PGC1a expression brings Potential Clinical Advancement in Therapy 非霍奇金淋巴瘤CAR - T细胞:同步信号、GLUT1表达和PGC1a表达的增强带来治疗的潜在临床进展

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570825

Jackson He, Yi-Jyun Chen, Zhi Feng Etan Kiang, Ly Yang

{"title":"Non-Hodgkin Lymphoma CAR T Cells: Enhancement on Synnotch Signaling, GLUT1 expression, and PGC1a expression brings Potential Clinical Advancement in Therapy","authors":"Jackson He, Yi-Jyun Chen, Zhi Feng Etan Kiang, Ly Yang","doi":"10.1145/3570773.3570825","DOIUrl":"https://doi.org/10.1145/3570773.3570825","url":null,"abstract":"While prior therapies for malignant solid tumors mostly focused on surgical excision and/or chemotherapy/radiotherapy, it is now feasible to combat cancers via monitoring and manipulating the immune system. Hence, the main purpose of this work is to hypothesize a potential combinational therapy with prospective enhancements to Chimeric Antigen Receptor T cells, a provision of anticipated results in vivo immune compromised Rat model with Non-Hodgkin's Lymphoma. This study, based on previously done research, it suggests the inclusion of Synnotch Receptor, which can manage T cell exhaustion and alter antigen recognition by on/off switching the receptors, particularly adjusting for CD19 and supplementary CD22, CD20, and CD30. In addition to Synnotch, this work suggests that PGC1a and GLUT 1 be upregulated to deal with the problem of poor persistence in the tumor microenvironment, monitored by western blot and flow cytometry during experiments, and in addition, with the application of GM-CSF for tackling cytokine release syndrome.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"740 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":"116120150","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}

引用次数: 0

The spatial migration pattern of Hg content for the prediction of disease during a long time 长时间内汞含量的空间迁移模式对疾病的预测

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570877

Dongfang Yang, Dan Tian

引用次数: 0

MSRCN: Multi-task Learning Network for Cell Segmentation and Regression Counting 用于细胞分割和回归计数的多任务学习网络

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570816

Lihua Huang, Liqin Huang, Mingjing Yang

{"title":"MSRCN: Multi-task Learning Network for Cell Segmentation and Regression Counting","authors":"Lihua Huang, Liqin Huang, Mingjing Yang","doi":"10.1145/3570773.3570816","DOIUrl":"https://doi.org/10.1145/3570773.3570816","url":null,"abstract":"Accurate cell segmentation and counting play an important role in medical diagnosis. However, the size and shape of cells are varied largely, and the presence of overlapping cells complicates cell counting. Recent studies have shown that multi-task learning methods perform well in deep learning. In specific, we design Multi-task Segmentation Regression Counting Network (MSRCN). For cell segmentation, a multi-scale attention mechanism module is designed to suppress irrelevant regions and learns salient features for a specific task. For cell counting, a regression model is utilized to learn a mapping from cell feature information to target counts. The proposed MSRCN model is analyzed and compared with other states of the art cell segmentation methods and cell counting methods. MSRCN outperforms these methods in all evaluation metrics. The Dice similarity coefficient, root mean square error, and mean absolute error of the proposed method is 0.9316, 2.1215, and 1.5927, respectively. The experiments results show that the proposed method not only improves the functioning of cell segmentation, but also outperforms direct regression counting methods in terms of cell counting.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"49 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121006533","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}

引用次数: 0

Spindle Density Analysis of Adult Epilepsy based on Automatic Detection Algorithms in EEG 基于脑电自动检测算法的成人癫痫纺锤体密度分析

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570804

Yajin Huang, Yanjun Liu, Junqiang Li, Yan Yue, Yaqing Liu, Tiancheng Wang

引用次数: 0

The application of Internet-based intervention in the treatment of depression 网络干预在抑郁症治疗中的应用

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570846

Miaoyun Xie, Runqing Gao, Kesui Deng

引用次数: 0

Analysis of curative effect and point selection of different acupuncture treatments for sciatica based on data mining technology 基于数据挖掘技术的不同针刺治疗坐骨神经痛的疗效及穴位选择分析

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570858

Renjun Cai, Jia-rong Fan, Fengyuan Bai, Dian-Cheng Tang, Tao Liu, Qiu-ling Xu

{"title":"Analysis of curative effect and point selection of different acupuncture treatments for sciatica based on data mining technology","authors":"Renjun Cai, Jia-rong Fan, Fengyuan Bai, Dian-Cheng Tang, Tao Liu, Qiu-ling Xu","doi":"10.1145/3570773.3570858","DOIUrl":"https://doi.org/10.1145/3570773.3570858","url":null,"abstract":"Objective: From the advantages of acupuncture analgesia, to explore the effect of different acupuncture moxibustion therapies on sciatica in modern clinical research and visual analysis of point selection through the method of data mining technology, to select the optimal therapy and point selection for clinical service. Methods: Based on data mining technology, statistical analysis was carried out on the clinical efficacy and acupoints of different acupuncture and moxibustion treatments for sciatica in Chinese and English literatures in recent 10 years. Finally, according to the results of statistical analysis, the best moxibustion therapy and acupoints for the treatment of sciatica were selected. Conclusion: In all the included literatures, the average total effective rate of special acupuncture treatment is the highest among the seven treatment methods, followed by acupuncture + traditional Chinese medicine and warm acupuncture. In all the included literatures, the top ten acupoints used were GB30, BL40, GB34, BL57, BL60, BL54, BL25, EX-B2, BL23, GB39 and BL37. In the co-occurrence network diagram, there is a strong correlation between GB30, GB34, BL40, BL54, BL57, BL60 and other acupoints, which can be selected preferentially for treatment.","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":"133616169","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}

引用次数: 0