检索结果-内蒙古大学图书馆

Host Immune Response To HPV Infection: Deconvolution Analysis From Liquid-Based Cytology Low-Volume Rna-Seq Data For Tumor Microenvironment Profiling In Cervical Dysplasia/Cancer Progression And Risk Stratification: A Pilot Study

引用

International Journal of Gynecological Cancer 2025年第2期35卷

作者： Valentina Bruno Alessandra Logoteta Martina Betti Francesca De Nicola Ludovica Ciuffreda Margherita Ferretti Ermelinda Baiocco Emanuela Mancini Cristina Vincenzoni Giuseppe Cutillo Matteo Pallocca Maurizio Fanciulli Enrico Vizza Department of Experimental Clinical Oncology Gynecologic Oncology Unit IRCCS Regina Elena National Cancer Institute Rome Italy Department of Biomedicine and Prevention Biotechnologies and Translational Medicine University of Rome Tor Vergata Rome Italy Obstetrics and Gynecology Unit San Camillo de Lellis Hospital Rieti Italy Clinical Trial Center and Biostatistics and Bioinformatics Unit IRCCS Regina Elena National Cancer Institute Rome Italy SAFU Department of Research Advanced Diagnostics and Technological Innovation IRCCS Regina Elena National Cancer Institute Rome Italy Institute of Experimental Endocrinology and Oncology National Research Council Naples Italy

来源：评论

学校读者我要写书评

暂无评论

KNEE ARTHRITIS SEVERITY MEASUREMENT USING DEEP LEARNING: A PUBLICLY AVAILABLE ALGORITHM WITH A MULTI-INSTITUTIONAL VALIDATION SHOWING RADIOLOGIST-LEVEL PERFORMANCE

arXiv

引用

arXiv 2022年

作者： Gu, Hanxue Li, Keyu Colglazier, Roy J. Yang, Jichen Lebhar, Michael O'Donnell, Jonathan Jiranek, William A. Mather, Richard C. French, Rob J. Said, Nicholas Zhang, Jikai Park, Christine Mazurowski, Maciej A. The Duke University of Medicine Durham27708 United States The Department of Radiology Radiology Musculoskeletal Imaging Radiology Durham27708 United States The Practice Transformation Unit The Department of Orthopaedic Surgery Duke University Durham27708 United States The Orthopaedic Surgery Orthopaedics Orthopaedics Duke University Durham27708 United States Population Health Sciences Population Health Sciences Basic Science Department Durham27708 United States Duke Clinical Research Institute Institutes and Centers Durham27708 United States Duke-Margolis Center for Health Policy Duke - Margolis Center For Health Policy Initiatives Durham27708 United States Radiology Radiology Clinical Science Department Durham27708 United States Biostatistics and Bioinformatics Biostatistics & Bioinformatics Basic Science Department Durham27708 United States The Department of Electrical and Computer Engineering Electrical and Computer Engineering Pratt School of Engineering Durham27708 United States Computer Science Computer Science Trinity College of Arts & Sciences Durham27708 United States Duke Cancer Institute Institutes and Centers in Duke University Durham27708 United States

The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a central criteria for the use of total knee arthroplasty. However, this assessment suffers from imprecise standards and a remarkably high inter-reader variability. An algorithmic, automated assessment of KOA severity could improve overall outcomes of knee replacement procedures by increasing the appropriateness of its use. We propose a novel deep learning-based five-step algorithm to automatically grade KOA from posterior-anterior (PA) views of radiographs: (1) image preprocessing (2) localization of knees joints in the image using the YOLO v3-Tiny model, (3) initial assessment of the severity of osteoarthritis using a convolutional neural network-based classifier, (4) segmentation of the joints and calculation of the joint space narrowing (JSN), and (5), a combination of the JSN and the initial assessment to determine a final Kellgren-Lawrence (KL) score. Furthermore, by displaying the segmentation masks used to make the assessment, our algorithm demonstrates a higher degree of transparency compared to typical "black box" deep learning classifiers. We perform a comprehensive evaluation using two public datasets and one dataset from our institution, and show that our algorithm reaches state-of-the art performance. Moreover, we also collected ratings from multiple radiologists at our institution and showed that our algorithm performs at the radiologist level. © 2022, CC BY-NC-SA.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Identification of a Circulating Serum miRNA Signature As a Predictive Biomarker and Potential Therapeutic Target in Diffuse Large B-Cell Lymphoma

引用

Blood 2024年 144卷 6216-6216页

作者： Giulia Regazzo Giulia Vari Francesco Marchesi Andrea Sacconi Francesca Palombi Mariangela Novello Elena Papa Martina Tomassi Francesco Pisani Andrea Mengarelli Maria Giulia Rizzo Translational Oncology Research Unit IRCCS - Regina Elena National Cancer Institute Istituti Fisioterapici Ospitalieri (I.F.O.) Rome Italy PhD School of Molecular Medicine Sapienza University of Rome Rome Italy Hematology and Stem Cell Transplant Unit IRCCS - Regina Elena National Cancer Institute Istituti Fisioterapici Ospitalieri (I.F.O.) Rome Italy Biostatistics and Bioinformatics Unit IRCCS - Regina Elena National Cancer Institute Istituti Fisioterapici Ospitalieri (I.F.O.) Rome Italy Pathology Unit IRCCS - Regina Elena National Cancer institute Istituti Fisioterapici Ospitalieri (I.F.O.) Rome Italy

Diffuse large B-cell lymphoma (DLBCL) is an aggressive hematological malignancy. Despite the R-CHOP immunochemotherapy, ≈35% of patients are refractory/relapsing. Among the prognostic factors there are genomic alterations and gene expression profiles, which define the activated B-cell-like (ABC) and germinal centre B-cell-like (GCB) cell-of-origin (COO) subtypes. However, none of these indicators can entirely predict treatment response. Thus, the identification of new prognostic/predictive biomarkers that might complement those currently in use, is demanding. MicroRNAs (miRNAs), small non-coding RNAs with an epigenetic function, impact on several cancer processes including drug resistance. They are deregulated both in tumour tissues and patient blood, where they circulate in a stable form and can be easily detected, thus making miRNAs interesting non-invasive biomarker candidates. Moreover, recent advances in high-throughput sequencing techniques have unveiled their prognostic/predictive utility in numerous pathologies including lymphomas. In this regard, we previously found the serum miR-22-3p as a circulating prognostic biomarker being correlated with progression-free survival (PFS), independently from other prognostic factors. However, a signature of miRNAs, rather than a single miRNA, may represent a more reliable biomarker and a better mirror of the complexity of the disease. In this study, using a small-RNA sequencing on serum samples from 33 de novo DLBCL patients (15 refractory subjects and 18 responsive to R-CHOP), we selected circulating miRNAs differentially expressed between refractory and responding patients (area under the ROC curve-AUC>0.7; p value≤0.05). The combined expression of three selected serum miRNAs (miR-200c-3p, miR-421 and miR-324-5p) improved the predictive performance compared to the use of the single miRNAs (from AUC 0.72 to 0.8) and was also correlated to PFS (p=0.02). Interestingly, among these three miRNAs, miR-421 and miR-324-5p wer

关键词：

来源：评论

学校读者我要写书评

暂无评论

Heritable microbiome variation is correlated with source environment in locally adapted maize varieties

引用

Nature Plants 2024年第4期10卷 598-617页

作者： He, Xiaoming Wang, Danning Jiang, Yong Li, Meng Delgado-Baquerizo, Manuel McLaughlin, Chloee Marcon, Caroline Guo, Li Baer, Marcel Moya, Yudelsy A. T. von Wirén, Nicolaus Deichmann, Marion Schaaf, Gabriel Piepho, Hans-Peter Yang, Zhikai Yang, Jinliang Yim, Bunlong Smalla, Kornelia Goormachtig, Sofie de Vries, Franciska T. Hüging, Hubert Baer, Mareike Sawers, Ruairidh J. H. Reif, Jochen C. Hochholdinger, Frank Chen, Xinping Yu, Peng College of Resources and Environment and Academy of Agricultural Sciences Southwest University (SWU) Chongqing China Emmy Noether Group Root Functional Biology Institute of Crop Science and Resource Conservation (INRES) University of Bonn Bonn Germany Crop Functional Genomics Institute of Crop Science and Resource Conservation (INRES) University of Bonn Bonn Germany Department of Breeding Research Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany Department of Plant Science Pennsylvania State University State College PA United States Laboratorio de Biodiversidad y Funcionamiento Ecosistémico Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS) CSIC Sevilla Spain Department of Physiology and Cell Biology Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben Germany Plant Nutrition Institute of Crop Science and Resource Conservation (INRES) University of Bonn Bonn Germany Biostatistics Unit University of Hohenheim Stuttgart Germany Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE United States Institute for Epidemiology and Pathogen Diagnostics Julius Kühn-Institut – Federal Research Centre for Cultivated Plants (JKI) Braunschweig Germany Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium Center for Plant Systems Biology VIB Ghent Belgium Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam Netherlands Crop Science Group Institute of Crop Science and Resource Conservation (INRES) University of Bonn Bonn Germany Institute of Nutrition and Food Sciences Department of Food Microbiology and Hygiene University of Bonn Bonn Germany

Beneficial interactions with microorganisms are pivotal for crop performance and resilience. However, it remains unclear how heritable the microbiome is with respect to the host plant genotype and to what extent host genetic mechanisms can modulate plant–microbiota interactions in the face of environmental stresses. Here we surveyed 3,168 root and rhizosphere microbiome samples from 129 accessions of locally adapted Zea, sourced from diverse habitats and grown under control and different stress conditions. We quantified stress treatment and host genotype effects on the microbiome. Plant genotype and source environment were predictive of microbiome abundance. Genome-wide association analysis identified host genetic variants linked to both rhizosphere microbiome abundance and source environment. We identified transposon insertions in a candidate gene linked to both the abundance of a keystone bacterium Massilia in our controlled experiments and total soil nitrogen in the source environment. Isolation and controlled inoculation of Massilia alone can contribute to root development, whole-plant biomass production and adaptation to low nitrogen availability. We conclude that locally adapted maize varieties exert patterns of genetic control on their root and rhizosphere microbiomes that follow variation in their home environments, consistent with a role in tolerance to prevailing stress. © The Author(s), under exclusive licence to Springer Nature Limited 2024.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Guidance on the use of complex systems models for economic evaluations of public health interventions

引用

HEALTH ECONOMICS 2023年第7期32卷 1603-1625页

作者： Breeze, Penny R. Squires, Hazel Ennis, Kate Meier, Petra Hayes, Kate Lomax, Nik Shiell, Alan Kee, Frank de Vocht, Frank O'Flaherty, Martin Gilbert, Nigel Purshouse, Robin Robinson, Stewart Dodd, Peter J. Strong, Mark Paisley, Suzy Smith, Richard Briggs, Andrew Shahab, Lion Occhipinti, Jo-An Lawson, Kenny Bayley, Thomas Smith, Robert Boyd, Jennifer Kadirkamanathan, Visakan Cookson, Richard Hernandez-Alava, Monica Jackson, Christopher H. Karapici, Amanda Sassi, Franco Scarborough, Peter Siebert, Uwe Silverman, Eric Vale, Luke Walsh, Cathal Brennan, Alan School of Health and Related Research University of Sheffield Sheffield UK British Medical Journal Technology Appraisal Group London UK MRC/CSO Social and Public Health Sciences Unit University of Glasgow Scotland UK School of Geography University of Leeds Leeds UK Department of Public Health LaTrobe University Melbourne Australia Centre for Public Health Queen's University Belfast Belfast UK Population Health Sciences Bristol Medical School University of Bristol Bristol UK NIHR Applied Research Collaboration West (ARC West) Bristol UK Department of Public Health Policy and Systems University of Liverpool Liverpool UK CRESS University of Surrey Guildford UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Business School University of Newcastle Newcastle UK Lumanity-HEOR South Yorkshire Sheffield UK College of Medicine and Health University of Exeter Exeter UK London School of Hygiene & Tropical Medicine London UK Department of Behavioural Science and Health UCL London UK Brain and Mind Centre University of Sydney New South Wales Camperdown Australia United Kingdom Health Security Agency Birmingham UK MRC/CSO Social and Public Health Sciences Unit University of Glasgow Glasgow UK Centre for Health Economics University of York Heslington UK MRC Biostatistics Unit University of Cambridge Cambridge UK NIHR SPHR London School of Hygiene and Tropical Medicine London UK Centre for Health Economics & Policy Innovation Imperial College Business School London UK Nuffield Department of Population Health University of Oxford Oxfordshire Oxford UK Department of Public Health Health Services Research and Health Technology Assessment UMIT TIROL - University for Health Sciences and Technology Hall in Tirol Tyrol Austria Division of Health Technology Assessment and Bioinformatics ONCOTYROL - Center for Personalized Cancer Medicine Innsbruck Austria Center for Health Decision Science Departments of Epidemio

To help health economic modelers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modeling projects using these models. A working group of experts in complex systems modeling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modeling is needed;principles for designing a complex systems model;and how to choose an appropriate modeling technique. This paper provides a definition to identify and characterize complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

关键词： complex systems economic modeling public health

来源：评论

学校读者我要写书评

暂无评论

922P Genomic instability as a biomarker for advanced cancer of the head and neck

引用

Annals of Oncology 2024年 35卷 S645-S646页

作者： F.G. Dall'Olio W.S. Zrafi D. Al Burshaid J. Bassil V.V. Pop D. Vasseur L. lacroix P. Kannouche K. Benihoud I. Breuskin C. Even Head and Neck Oncology Institut Gustave Roussy Villejuif France Biostatistics and Bioinformatics Institut Gustave Roussy Villejuif France Chirurgie Cervico Faciale Institut Gustave Roussy Villejuif France Molecular Biology Gustave Roussy - Cancer Campus Villejuif France Medical Biology and Pathology department Gustave Roussy - Cancer Campus Villejuif France Genomic Instability Unit Gustave Rousy Villejuif France Metsy laboratory Gustave Roussy Villejuif France

来源：评论

学校读者我要写书评

暂无评论

Associations between Prenatal Exposure to Environmental Phenols and Child Neurodevelopment at Two Years of Age in a South African Birth Cohort

SSRN

引用

SSRN 2024年

作者： Zhou, Terry Abrishamcar, Sarina Christensen, Grace M. Eick, Stephanie M. Barr, Dana Boyd Vanker, Aneesa Hoffman, Nadia Donald, Kirsten A. Wedderburn, Catherine J. Andra, Syam S. Wright, Robert O. Zar, Heather J. Stein, Dan J. Hüls, Anke Department of Epidemiology Rollins School of Public Health Emory University AtlantaGA United States Gangarosa Department of Environmental Health Rollins School of Public Health Emory University AtlantaGA United States Department of Paediatrics and Child Health Red Cross War Memorial Children’s Hospital University of Cape Town Cape Town South Africa Neuroscience Institute University of Cape Town Cape Town South Africa Department of Psychiatry and Mental Health University of Cape Town Cape Town South Africa Unit on Risk and Resilience in Mental Disorders University of Cape Town Cape Town South Africa Department of Clinical Research London School of Hygiene & Tropical Medicine London United Kingdom Department of Environmental Medicine and Climate Science Icahn School of Medicine at Mount Sinai New YorkNY10029 United States Department of Biostatistics and Bioinformatics Rollins School of Public Health Emory University AtlantaGA United States

Objective Evidence suggests that prenatal environmental phenol exposures negatively impact child neurodevelopment, however there is little research on the effects of mixtures of multiple phenol exposures. We analyzed associations between prenatal exposure to phenol mixtures and cognitive neurodevelopment at two years of age among 545 mother-child pairs from the South African Drakenstein Child Health Study. Material and Methods We measured maternal urine environmental phenol concentrations once during the second trimester of pregnancy. We used the Bayley Scales of Infant and Toddler Development III to assess cognitive development at two years of age. We used linear regression models adjusted for maternal HIV status, maternal age, ethnicity, prenatal tobacco exposure, child sex, and socioeconomic status (SES) to examine individual associations. We compared four mixture methods: self-organizing maps (SOM), Bayesian kernel machine regression (BKMR), quantile-based G-computation (qgcomp) and weighted quantile sum (WQS) regression to explore joint effects of the exposure mixture. We assessed effect modification by SES, sex, prenatal tobacco, and *** Across all methods, we found no association between individual phenol exposures or the joint exposure mixture with the cognitive score. Prenatal tobacco exposure modified the association between pentachlorophenol (PCP) and cognitive neurodevelopment (interaction p-value=0.012), with higher PCP concentrations associated with lower cognitive scores among non-smokers (beta=- 2.17;95% CI: -3.85, -0.49). Sex modified the association between bisphenol A (BPA) and cognitive neurodevelopment (interaction p-value=0.021), with males having a significant adverse association (beta=-1.39;95% CI: -2.54, -0.23).Conclusion While we found no main effects of prenatal phenol exposure on cognitive neurodevelopment, the associations with PCP and BPA were more pronounced among certain subgroups. © 2024, The Authors. All rights reserve

关键词： Phenols

来源：评论

学校读者我要写书评

暂无评论

Homozygous mutation in the ADH6 gene, involved in alcohol metabolism, associated with a multisystem disorder, analogous to the fetal alcohol syndrome

引用

Journal of Clinical and Translational Endocrinology: Case Reports 2023年 28卷 100144-100144页

作者： Bouhouche, Ahmed Askander, Omar Charoute, Hicham Sabib, Mouna El Quessar, Abdeljalil El Hassani, Amine Erreimi, Naima Laboratory of Human Genetics Genomic Center of Human Pathologies Medical School and Pharmacy Mohammed V University in Rabat Morocco Department of Neurology and Neurogenetics Specialties Hospital University Hospital Center Ibn Sina Rabat Morocco Genomic Center of the Cheikh Zaid Foundation Abulcasis International University of Health Sciences Rabat Morocco Research Unit of Epidemiology Biostatistics and Bioinformatics Institut Pasteur du Maroc Casablanca Morocco Department of Pediatric Children University Hospital Center Ibn Sina Rabat Morocco Department of Radiology Cheikh Zaid International Universitary Hospital Rabat Morocco Department of Pediatrics Abulcasis International University of Health Sciences Rabat Morocco Centre of Childhood Care and Prevention Cheikh Zaid International Universitary Hospital Rabat Morocco

Introduction: In humans, there is considerable individual variability in ethanol metabolism, and these differences have been partially attributed to genetic variability at the ADH locus at 4q22-23, where seven genes are found. They encode ADH enzymes with different kinetic and structural properties that represent the first step in a series of reactions involved in the metabolism and elimination of alcohol from the body. The objective of the study was to identify the potential genetic cause in a patient with congenital metabolic encephalopathy of unknown etiology, and having similarities to fetal alcohol syndrome. Case: We described a patient of Moroccan origin who suffered from a multisystem disorder compatible with congenital metabolic encephalopathy. The main clinical characteristics observed in the patient were psychomotor retardation, facial dysmorphism, microcephaly, and hematologic and endocrine abnormalities. Whole exome sequencing identified a homozygous missense mutation c.133G > A (***45Arg) in ADH6, a gene implicated in alcohol metabolism and previously not associated with human disease. The variant segregates well with the disease in the family, affects a highly conserved amino acid and was predicted to be damaging. bioinformatics analysis revealed that the Gly45Arg substitution may affect the structure and function of the ADH6 protein. No other potential causal gene under an autosomal recessive inheritance model was found. Discussion: The patient presented with a congenital metabolic encephalopathy, and having similarities to fetal alcohol syndrome due to prenatal alcohol exposure. The only potential causing variant was identified in the ADH6, belonging to the Class V ADH which is a predominantly fetal alcohol dehydrogenase. In addition, he presented vacuolated lymphocytes, anemia and abnormalities of endocrine function, all have been reported to be related to an abnormal alcohol metabolism. Conclusion: We identified a novel variant in ADH6, involved

关键词： ADH6 Alcohol metabolism Genetic disorder Novel mutation Whole exome sequencing

来源：评论

学校读者我要写书评

暂无评论

3167 – DECIPHERING THE IMPACT OF GENETIC MUTATIONS DURING DEVELOPMENTAL HEMATOPOIESIS

引用

Experimental Hematology 2024年 137卷 104487-104487页

作者： Alina Sommer Stephan Fischer Laina Freyer Yvan Lallemand Elisa Gomez Perdiguero Macrophages and endothelial cells unit Department of Developmental and Stem Cell Biology Institut Pasteur Université Paris Cité UMR3738 CNRS F-75015 Paris France Paris France Sorbonne Université Collège doctoral F-75005 Paris France Paris France Institut Pasteur Université Paris Cité Bioinformatics and Biostatistics Hub F-75015 Paris France France Macrophages and endothelial cells unit Department of Developmental and Stem Cell Biology Institut Pasteur Université Paris Cité UMR3738 CNRS F-75015 Paris France France

The blood and immune system develops in sequential waves. Erythro-Myeloid Progenitor (EMP)-derived cells ensure oxygen supply and support organogenesis during fetal development, enabling intra-embryonic Hematopoietic Stem and Progenitor Cells (HSPC) to mature in preparation for sustaining life-long hematopoiesis in the bone marrow. However, it remains unknown whether mutations affect EMP and HSPC hematopoiesis differently and whether this could lead to stage-specific diseases. Mutations in Gata1, a key hematopoietic transcription factor for erythroid and Megakaryocyte (Mk) development, lead to a stage-specific blood disorder in Down syndrome children. Given the recent findings that in the mouse model transient EMP, and not HSPCs, are responsible for most erythroid and Mk production until at least birth, it is important to investigate whether the same mutation could affect different erythroid progenitors from different origins. Using lineage tracing specific for EMP and HSPCs, we discovered that dysfunctional Gata1 (Gata1mCherry) induces hyperproliferation and prolongs survival of Mk, with far more pronounced effects on the EMP than on the HSPC progeny during fetal development in the mouse model. Single-cell RNA and ATAC sequencing unveiled distinct transcriptional dysregulation in EMP- and HSPC-derived Megakaryopoiesis driven by Gata1mCherry. Strikingly, we discovered a novel de-differentiating Mk population that is present exclusively in EMP-derived Megakaryopoiesis. Thus, the lineage-specific differences in trajectories of Mk development between EMP and HSPC underlie the stage-specific nature of Gata1mCherry-driven disease. These results indicate that blood cells exhibit distinct responses to defects based on their developmental origin (ontogeny), which provides valuable insights for future research and clinical applications of transient hematological disorders.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” Informatics in Medicine Unlocked Volume 37, 2023, 101191

引用

Informatics in Medicine Unlocked 2024年 50卷

作者： Baris Balaban Caglar Yilgor Altug Yucekul Tais Zulemyan Ibrahim Obeid Javier Pizones Frank Kleinstueck Francisco Javier Sanchez Perez-Grueso Ferran Pellise Ahmet Alanay Osman Ugur Sezerman Department of Biostatistics and Bioinformatics Institute of Health Sciences Acibadem Mehmet Ali Aydinlar University Istanbul Turkey Department of Orthopedics and Traumatology Acibadem University School of Medicine Istanbul Turkey Comprehensive Spine Center Acibadem Maslak Hospital Istanbul Turkey Clinique du Dos Elsan Jean Villar Private Hospital Bordeaux France Spine Surgery Unit Hospital Universitario La Paz Madrid Spain Spine Center Division Department of Orthopedics and Neurosurgery Schulthess Klinik Switzerland Spine Surgery Unit Hospital Universitari Vall d'Hebron Barcelona Spain

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：