检索结果-南通市图书馆

A Robust N-Terminal Pro-Brain Natriuretic Peptide Assay for clinical diagnosis of Heart Failure in Elderly Patients

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Analysis and Testing 2024年第1期8卷 74-82页

作者： Xue Gong Jiangling Wu Jiajia Zhang Zhongwei Jiang Yi Wang Pu Zhang Engineering Research Center for Biotechnology of Active Substances(Ministry of Education) Chongqing Key Laboratory of Green Synthesis and ApplicationsCollege of ChemistryChongqing Normal UniversityChongqing 401331China Chongqing Research Center for Pharmaceutical Engineering College of PharmacyChongqing Medical UniversityChongqing 400016China Department of clinical Laboratory University Town Hospital of Chongqing Medical UniversityChongqing 401331China

Heart failure(HF)is a clinical hallmark of cardiovascular syndrome leading to substantial morbidity,repeated hospitalization,and enormous healthcare *** elderly populations continue to increase,biomarker-guided diagnosis and treatment for age-related cardiac decline have become *** evidence demonstrates that N-terminal proBNP(NT-proBNP)can provide a unique window into the diagnosis and risk stratification with ***,a simple yet robust aptasensor is developed for on-site recognizing the NT-proBNP by its targeting aptamer,thus achieving the accurate diagnosis of *** aptasensing system is prepared by absorbing the fluorophore-labeled aptamer strand onto the graphene oxide(GO),leading to efficient quenching without possible off-site signal *** aptamer strand can specifically identify target NT-proBNP molecules via a versatile conformational transformation,resulting in the desorption of the aptamer-NTproBNP complexes from GO and re-generation fluorescence signal,thus allowing sensitive detection of NT-proBNP in 37 clinical blood *** advantage of the high specificity of aptamer-guaranteed recognitions of NT-proBNP,this aptasensor system readily achieves better diagnostic performance for HF than commercially adopted chemiluminescence immunoassay(Siemens,CLIA)in hospitals in terms of accuracy(89.2%vs 83.8%),specificity(89.5%vs 84.2%),and positive predictive value(88.9%vs 83.3%).This work provides a stable option for the diagnosis and treatment of elderly HF-related diseases inclinics.

关键词： NT-proBNP Graphene oxide Aptamer Heart failure clinical diagnosis

Intestinal anisakiasis treated successfully with conservative therapy:Importance of clinical diagnosis

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2014年第2期20卷 598-602页

作者： Santosh Shrestha Akiko Kisino Makoto Watanabe Hirosi Itsukaichi Kazumitsu Hamasuna Giichiro Ohno Atsushi Tsugu Department of Gastro-Intestinal Surgery Tokatsu Hospital Chiba 270-0174 Japan

Intestinal anisakiasis is not only a rare parasitic disease,but is also difficult to *** symptoms are not specific and are often very severe and abrupt,and the findings of clinical imaging are very ***,intestinal anisakiasis is often misdiagnosed as acute abdomen or intestinal obstruction and is treated ***,if intestinal anisakiasis could be diagnosed correctly,it is well treated *** experienced three cases of intestinal anisakiasis,which were diagnosed correctly and treated successfully with conservative therapy.A correct clinical history and imaging interpretation helped us diagnose intestinal anisakiasis correctly and thus treat the patients successfully with conservative therapy.

关键词： Acute abdomen Computed tomography findings clinical diagnosis Intestinal anisakiasis Conservative therapy

Targeting amyloid proteins for clinical diagnosis of neurodegenerative diseases

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fundamental Research 2023年第4期3卷 505-519页

作者： Shenqing Zhang Hui Dong Jiang Bian Dan Li Cong Liu Bio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders(Ministry of Education)Shanghai Jiao Tong UniversityShanghai 200030China School of Life Sciences and Biotechnology Shanghai Jiao Tong UniversityShanghai 200030China Interdisciplinary Research Center on Biology and Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 201210China University of the Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Bio-Organic and Natural Products Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China Bio-X-Renji Hospital Research Center Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200240China Zhangjiang Institute for Advanced Study Shanghai Jiao Tong UniversityShanghai 200240China.

Abnormal aggregation and accumulation of pathological amyloid proteins such as amyloid-β,Tau,and𝛼α-synuclein play key pathological roles and serve as histological hallmarks in different neurodegenerative diseases(NDs)such as Alzheimer’s disease(AD)and Parkinson’s disease(PD).In addition,various post-translational modifications(PTMs)have been identified on pathological amyloid proteins and are subjected to change during disease *** the central role of amyloid proteins in NDs,tremendous efforts have been made to develop amyloid-targeting strategies for clinical diagnosis and molecular classification of *** this review,we summarize two major strategies for targeting amyloid aggregates,with a focus on the trials in AD *** first strategy is a positron emission tomography(PET)scan of protein aggregation in the *** mainly focus on introducing the development of small-molecule PET tracers for specifically recognizing pathological amyloid *** second strategy is the detection of PTM biomarkers on amyloid proteins in cerebrospinal fluid and *** discuss the pathological roles of different PTMs in diseases and how we can use the PTM profile of amyloid proteins for clinical ***,we point out the potential technical challenges of these two strategies,and outline other potential strategies,as well as a combination of multiple strategies,for molecular diagnosis of NDs.

关键词： Amyloid aggregation Neurodegenerative diseases clinical diagnosis Alzheimer’s disease Positron emission tomography(PET)tracer Tau Biomarker Post-translational modification

Applications of artificial intelligence in, early detection of cancer, clinical diagnosis and personalized medicine

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Artificial Intelligence in Cancer 2020年第2期1卷 39-44页

作者： Mujib Ullah Asma Akbar Gustavo Yannarelli Institute for Immunity TransplantationStem Cell Biology and Regenerative MedicineSchool of MedicineStanford UniversityPalo AltoCA 94304United States Molecular Medicine Department of RadiologySchool of MedicineStanford UniversityPalo AltoCA 94304United States Laboratorio de Regulación Génica y Células Madre Instituto de Medicina TraslacionalTrasplante y BioingenieríaUniversidad Favaloro-CONICETBuenos Aires 1078Argentina

Artificial intelligence(AI)refers to the simulation of human intelligence in machines programmed to convert raw input data into decision-making actions,like *** programs are designed to make decisions,often using deep learning and computer-guided programs that analyze and process raw data into clinical decision making for effective *** techniques for predicting cancer at an early stage are needed as conventional methods have poor accuracy and are not applicable to personalized *** has the potential to use smart,intelligent computer systems for image interpretation and early diagnosis of *** has been changing almost all the areas of the medical field by integrating with new emerging *** has revolutionized the entire health care system through innovative digital diagnostics with greater precision and *** is capable of detecting cancer at an early stage with accurate diagnosis and improved survival *** is an innovative technology of the future that can be used for early prediction,diagnosis and treatment of cancer.

关键词： Artificial intelligence Cancer clinical tumor prediction Early detection of cancer clinical diagnosis Personalized medicine

PERFORMANCE COMPARISON OF ECG COMPRESSION ALGORITHMS BASED ON clinical diagnosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Shanghai Jiaotong university(Science) 2001年第1期6卷 21-26页

作者：李顺山李高平乐园庄天戈 Dept. of Biomedical Eng. Shanghai Jiaotong Univ. Shanghai Zhongshan Hospital Shanghai 200032

This paper reviewed the recent progress in the field of electrocardiogram (ECG) compression and compared the efficiency of some compression algorithms. By experimenting on the 500 cases of ECG signals from the ECG database of China, it obtained the numeral indexes for each algorithm. Then by using the automatic diagnostic program developed by Shanghai Zhongshan Hospital, it also got the parameters of the reconstructed signals from linear approximation distance threshold (LADT), wavelet transform (WT), differential pulse code modulation (DPCM) and discrete cosine transform (DCT) algorithm. The results show that when the index of percent of root mean square difference(PRD) is less than 2.5%, the diagnostic agreement ratio is more than 90%; the index of PRD cannot completely show the damage of significant clinical information; the performance of wavelet algorithm exceeds other methods in the same compression ratio (CR). For the statistical result of the parameters of various methods and the clinical diagnostic results, it is of certain value and originality in the field of ECG compression research.

关键词： compression algorithms performance comparison clinical diagnosis

Consensus of clinical diagnosis and treatment for non-functional pancreatic neuroendocrine neoplasms with diameter<2 cm

在线全文

学校读者我要写书评

暂无评论

Journal of Pancreatology 2023年第3期6卷 87-95页

作者： Wu Wenming Cai Shouwang Chen Rufu Fu Deliang Ge Chunlin Hao Chunyi Hao Jihui Huang Heguang Jian Zhixiang Jin Gang Li Fei Li Haimin Li Shengping Li Weiqin LiYixiong Liang Tingbo Liu Xubao Lou Wenhui Miao Yi Mou Yiping Peng Chenghong Qin Renyi Shao Chenghao Sun Bei Tan Guang Wang Huaizhi Wang Lei Wang Wei Wang Weilin Wei Junmin Wu Heshui Wu Zheng Yan Changqing Yang Yinmo Yin Xiaoyu Yu Xianjun Yuan Chunhui Zhao Yupei Department of General Surgery State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Department of Hepatobiliary Surgery PLA General HospitalBeijing 100853China Department of General Surgery Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China Department of Pancreatic Surgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghai 200040China Department of Hepatobiliary and Pancreatic Surgery Hunnan Division of The First Hospital of China Medical UniversityShenyang 110167China Department of Hepato-Pancreato-Biliary Surgery Peking University Cancer Hospital&InstituteBeijing 100142China Department of Pancreatic Cancer Tianjin Medical University Cancer Institute and HospitalTianjin 300060China Department of General Surgery Fujian Medical University Union HospitalFuzhou 350001China Department of General Surgery Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510000China Department of Hepatobiliary Pancreatic Surgery Changhai Hospital Affiliated to Navy Medical University(Second Military Medical University)Shanghai 200433China Department of General Surgery Xuanwu HospitalCapital Medical UniversityBeijing 100053China Department of Hepatobiliary Surgery Xijing HospitalFourth Military Medical UniversityXi’an 710032China Department of Hepatobiliary and Pancreatic Surgery Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhou 510060China Department of Critical Care Medicine Jinling HospitalMedical School of Nanjing UniversityNanjing 210002China Department of General Surgery Xiangya HospitalCentral South UniversityChangsha 410008China Department of Hepatobiliary and Pancreatic Surgery the First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China Department

In clinical practice,pancreatic neuroendocrine neoplasms(pNENs)with a diameter smaller than 2 cm are commonly referred to as small *** to their generally favorable biological characteristics,the diagnosis and treatment of small pNENs differ from other pNENs and are somewhat *** response to this,the Chinese Pancreatic Surgery Association,Chinese Society of Surgery,Chinese Medical Association have developed a consensus on the diagnosis and treatment of small pNENs,which is based on evidence-based medicine and expert *** consensus covers various topics,including concepts,disease assessment,treatment selection,follow-up,and other relevant aspects.

关键词： 2 cm clinical diagnosis Non-functional pancreatic neuroendocrine neoplasms Treatment

Consensus on the clinical diagnosis and treatment of grade 3 pancreatic neuroendocrine tumors

在线全文

学校读者我要写书评

暂无评论

Journal of Pancreatology 2024年第2期7卷 97-105页

作者： Jie Chen Wenming Wu Chunmei Bai Yihebali Chi Li Huo Liming Jiang Yuan Ji Jie Luo Jie Li Jingnan Li Wenhui Lou Chenghao Shao Lin Shen Feng Wang Yu Wang Ling Xue Jin Xu Chunhui Yuan Xianjun Yu Xiaoyu Yin Hong Zhao Xiongzeng Zhu Yupei Zhao Centre for Neuroendocrine Tumors Fudan University Shanghai Cancer CenterShanghai 200032China Department of General Surgery State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Department of Medical Oncology Peking Union Medical College HospitalChinese Academy of Medical Science&Peking Union Medical CollegeBeijing 100730China Department of Medical Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Nuclear Medicine State Key Laboratory of Complex Severe and Rare DiseasesBeijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear MedicinePeking Union Medical College HospitalChinese Academy of Medical SciencesBeijing 100730China Department of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Pathology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Pathology China-Japan Friendship HospitalBeijing 100029China Department of Gastroenterological Oncology Beijing Cancer HospitalPeking University Cancer Hospital&InstituteBeijing 100142China Department of Gastroenterology Peking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijing 100730China Department of Pancreatic Surgery Zhongshan HospitalFudan UniversityShanghai 200032China Department of Pancreatic-Biliary Surgery Second Affiliated Hospital of Naval Medical UniversityShanghai 200003China Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education)Peking University Cancer Hospital&InstituteBeijing 100142China Department of Nuclear Medicine Nanjing First HospitalNanj

The World Health Organization(WHO)2017 classifications for neuroendocrine neoplasms(NENs)subdivided grade 3 pancreatic neuroendocrine neoplasms(pNENs)into G3 well-differentiated pancreatic neuroendocrine tumors(G3 pNETs)and poorly differentiated pancreatic neuroendocrine carcinomas(pNECs),according to the mitotic count,Ki-67 index,and cell *** a new category,G3 pNETs remain a challenging group of tumors to manage by lacking large randomized trials and consensus to support its clinical ***,the Chinese Pancreatic Surgery Association,Chinese Society of Surgery,Chinese Medical Association gathered experts in this field to formulate this consensus for the diagnosis and treatment of G3 pNETs.

关键词： clinical diagnosis Grade 3 Pancreatic neuroendocrine tumors Treatment

A High-dimensional Data Analysis Method Based on PCA and Density Clustering in clinical diagnosis

在线全文

学校读者我要写书评

暂无评论

A High-dimensional Data Analysis Method Based on PCA and Den...

The progress of electrochemiluminesent biosensor for clinical diagnosis-with luminol as sensing probe

第30届中国控制与决策会议

作者： Zhu Danmei Tong Qing Xiao Qijin School of Science Liaoning Shihua University

With the development of medical science and technology, a large number of high-dimensional data have appeared in medical fields. There is a large amount of irrelevant data and data redundancy information, which leads to the learning model tends to transition, fitting or characterization ability weakened. It is unable to express effectively the medical data characteristics. By principal component analysis and principal component analysis based on mutual information, we select features and reduce dimensionality of high dimensional data. Furthermore, combine with effective density clustering with excellent performance to reduce ultimately the size of data and improve the quality of data analysis to help doctors making diagnosis. Experimental results show that this method can effectively deal with high-dimensional medical data analysis and achieve better results.

关键词： PCA PCAMI Density Clustering clinical diagnosis

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

The progress of electrochemiluminesent biosensor for clinica...