CN101076806B - 败血症的早期检测 - Google Patents

败血症的早期检测 Download PDF

Info

Publication number
CN101076806B
CN101076806B CN2005800424703A CN200580042470A CN101076806B CN 101076806 B CN101076806 B CN 101076806B CN 2005800424703 A CN2005800424703 A CN 2005800424703A CN 200580042470 A CN200580042470 A CN 200580042470A CN 101076806 B CN101076806 B CN 101076806B
Authority
CN
China
Prior art keywords
sepsis
data
model
clinical
neural network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN2005800424703A
Other languages
English (en)
Chinese (zh)
Other versions
CN101076806A (zh
Inventor
M·C·杰克逊
R·A·卢卡塞夫斯基
A·M·亚特斯
M·J·皮尔斯
T·J·布鲁克斯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
UK Secretary of State for Defence
Original Assignee
UK Secretary of State for Defence
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by UK Secretary of State for Defence filed Critical UK Secretary of State for Defence
Publication of CN101076806A publication Critical patent/CN101076806A/zh
Application granted granted Critical
Publication of CN101076806B publication Critical patent/CN101076806B/zh
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6863—Cytokines, i.e. immune system proteins modifying a biological response such as cell growth proliferation or differentiation, e.g. TNF, CNF, GM-CSF, lymphotoxin, MIF or their receptors
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6872—Intracellular protein regulatory factors and their receptors, e.g. including ion channels
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G16B25/10—Gene or protein expression profiling; Expression-ratio estimation or normalisation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/10—Signal processing, e.g. from mass spectrometry [MS] or from PCR
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/158—Expression markers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
    • G01N2333/705—Assays involving receptors, cell surface antigens or cell surface determinants
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00—Detection or diagnosis of diseases
    • G01N2800/26—Infectious diseases, e.g. generalised sepsis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Immunology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biotechnology (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Urology & Nephrology (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Cell Biology (AREA)
  • Hematology (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Organic Chemistry (AREA)
  • Pathology (AREA)
  • Biochemistry (AREA)
  • Evolutionary Biology (AREA)
  • Microbiology (AREA)
  • Theoretical Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Medicinal Chemistry (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Databases & Information Systems (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
CN2005800424703A 2004-12-09 2005-12-09 败血症的早期检测 Expired - Fee Related CN101076806B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GB0426982.5 2004-12-09
GBGB0426982.5A GB0426982D0 (en) 2004-12-09 2004-12-09 Early detection of sepsis
PCT/GB2005/004755 WO2006061644A1 (en) 2004-12-09 2005-12-09 Early detection of sepsis

Publications (2)

Publication Number Publication Date
CN101076806A CN101076806A (zh) 2007-11-21
CN101076806B true CN101076806B (zh) 2012-01-11

Family

ID=34073429

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2005800424703A Expired - Fee Related CN101076806B (zh) 2004-12-09 2005-12-09 败血症的早期检测

Country Status (8)

Country Link
US (1) US20080114576A1 (enExample)
EP (2) EP1839218A1 (enExample)
JP (1) JP2008522604A (enExample)
CN (1) CN101076806B (enExample)
AU (1) AU2005313114B2 (enExample)
CA (1) CA2587270A1 (enExample)
GB (1) GB0426982D0 (enExample)
WO (1) WO2006061644A1 (enExample)

Families Citing this family (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9053222B2 (en) 2002-05-17 2015-06-09 Lawrence A. Lynn Patient safety processor
US8068990B2 (en) * 2003-03-25 2011-11-29 Hologic, Inc. Diagnosis of intra-uterine infection by proteomic analysis of cervical-vaginal fluids
US7191068B2 (en) * 2003-03-25 2007-03-13 Proteogenix, Inc. Proteomic analysis of biological fluids
JP2008538007A (ja) 2005-04-15 2008-10-02 ベクトン，ディッキンソン アンド カンパニー 敗血症の診断
US20090297474A1 (en) * 2005-11-25 2009-12-03 Dermot Kelleher Method for Detecting or Monitoring Sepsis by Analysing Cytokine mRNA Expression Levels
EP1962431A4 (en) 2005-12-14 2012-09-26 Nec Corp DIGITAL COMMUNICATION SYSTEM, INDOOR DEVICE AND EXTERNAL DEVICE
GB0610078D0 (en) * 2006-05-20 2006-06-28 Secr Defence Sepsis detection microarray
EP1950310A1 (en) * 2007-01-23 2008-07-30 Charite-Universitätsmedizin Berlin Method for risk prediction of a postoperative sepsis in a human
GB0722582D0 (en) * 2007-11-16 2007-12-27 Secr Defence Early detection of sepsis
WO2009123737A2 (en) 2008-04-03 2009-10-08 Becton, Dickinson And Company Advanced detection of sepsis
US11728041B2 (en) * 2008-05-07 2023-08-15 Lawrence A. Lynn Real-time time series matrix pathophysiologic pattern processor and quality assessment method
US20140244304A1 (en) 2013-02-28 2014-08-28 Lawrence A. Lynn System and Method for Generating Quaternary Images of Biologic Force Propagation and Recovery
AU2009244200B2 (en) 2008-05-07 2012-10-18 Lawrence A. Lynn Medical failure pattern search engine
EP2166358A1 (en) * 2008-09-17 2010-03-24 Fundacio Institut de Recerca de l'Hospital Universitari Vall d'Hebron Differential diagnostic biomarkers of stroke mimicking conditions and methods of use thereof
WO2010088610A2 (en) * 2009-01-31 2010-08-05 Mayo Foundation For Medical Education And Research Presentation of critical patient data
JP5667353B2 (ja) 2009-09-25 2015-02-12 シスメックス株式会社 血球計数装置、診断支援装置、診断支援方法及びコンピュータプログラム
CA2788636C (en) 2010-03-02 2020-07-07 F. Hoffmann-La Roche Ag Il-6 detection based early diagnosis and prediction of systemic inflammatory response syndrome and sepsis in asymptomatic patients
US9719842B2 (en) * 2010-07-06 2017-08-01 Norman A. Paradis Method for the discovery, validation and clinical application of multiplex biomarker algorithms based on optical, physical and/or electromagnetic patterns
AU2011334548B2 (en) * 2010-11-26 2016-06-09 Immunexpress Pty Ltd Diagnostic and/or screening agents and uses therefor
WO2014068018A1 (en) * 2012-10-30 2014-05-08 Abbott Gmbh & Co.Kg Methods of prognosis and diagnosis of sepsis
US9953453B2 (en) 2012-11-14 2018-04-24 Lawrence A. Lynn System for converting biologic particle density data into dynamic images
US10354429B2 (en) 2012-11-14 2019-07-16 Lawrence A. Lynn Patient storm tracker and visualization processor
WO2014117165A1 (en) * 2013-01-28 2014-07-31 Vanderbilt University Method for differentiating sepsis and systemic inflammatory response syndrome (sirs)
KR101595784B1 (ko) * 2013-05-31 2016-02-26 가톨릭대학교 산학협력단 패혈증 고위험군 예측 방법 및 시스템
EP3013985A4 (en) * 2013-06-28 2017-07-19 Acumen Research Laboratories Pte. Ltd. Sepsis biomarkers and uses thereof
US10260111B1 (en) * 2014-01-20 2019-04-16 Brett Eric Etchebarne Method of detecting sepsis-related microorganisms and detecting antibiotic-resistant sepsis-related microorganisms in a fluid sample
GB201402293D0 (en) 2014-02-11 2014-03-26 Secr Defence Biomarker signatures for the prediction of onset of sepsis
AU2015323511B2 (en) * 2014-09-26 2019-10-03 Sofradim Production System and method for early detection of post-surgery infection
US10761093B2 (en) 2014-10-09 2020-09-01 Texas Tech University System Microdevice for cell separation utilizing activation phenotype
WO2017100711A1 (en) 2015-12-10 2017-06-15 Google Inc. Augmenting neural networks with external memory
EP3408773B1 (en) * 2016-01-28 2023-09-20 Beckman Coulter, Inc. Infection detection and differentiation systems and methods
JP2019511057A (ja) * 2016-03-23 2019-04-18 ピーチ インテリヘルス，インコーポレイティド Ｓｉｒｓの予測のための臨床パラメータの使用
WO2019240876A1 (en) * 2018-06-15 2019-12-19 Beckman Coulter, Inc. Method of determining sepsis in the presence of blast flagging
CN111374639A (zh) * 2018-12-28 2020-07-07 陈柏龄 败血症的菌种预测系统与方法
KR102287968B1 (ko) * 2019-03-29 2021-08-09 연세대학교 산학협력단 균혈증 발병 위험도 예측 방법 및 이를 이용한 균혈증 발병 위험도 예측용 디바이스
US20220299511A1 (en) * 2019-06-17 2022-09-22 The Broad Institute, Inc. Immune cell signature for bacterial sepsis
CN114127861A (zh) * 2019-07-12 2022-03-01 贝克曼库尔特有限公司 使用包括收缩压、血液学参数及其组合的生命体征检测败血症的方法
WO2021026123A1 (en) * 2019-08-06 2021-02-11 Beckman Coulter, Inc. Detecting and reporting subpopulations of neutrophils
US20210059597A1 (en) * 2019-08-30 2021-03-04 Hill-Rom Services, Inc. Sepsis monitoring system
WO2021102776A1 (zh) * 2019-11-28 2021-06-03 北京肿瘤医院(北京大学肿瘤医院) 一种用于早期体腔内感染性并发症诊断的标记物及方法
AU2020411504B2 (en) * 2019-12-27 2024-04-18 The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. Predicting and addressing severe disease in individuals with sepsis
US20230042330A1 (en) * 2020-01-10 2023-02-09 Prenosis, Inc. A tool for selecting relevant features in precision diagnostics
US20230040185A1 (en) * 2020-01-10 2023-02-09 Prenosis, Inc. A time-sensitive trigger for a streaming data environment
CN114167062B (zh) * 2020-09-10 2024-02-02 北京肿瘤医院(北京大学肿瘤医院) 一种用于早期腹腔内感染性并发症诊断的标记物及方法
TWI803893B (zh) * 2021-06-28 2023-06-01 中國醫藥大學 敗血症之人工智慧輔助醫療診斷方法及其系統
DE102022114248A1 (de) 2022-06-07 2023-12-07 TCC GmbH Verfahren sowie Vorhersagesystem zur Ermittlung der Eintrittswahrscheinlichkeit einer Sepsis eines Patienten
CN120526862B (zh) * 2025-07-24 2026-05-08 中国疾病预防控制中心传染病预防控制所 一种基于5种标记物的感染病原体类型检测系统

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6658287B1 (en) * 1998-08-24 2003-12-02 Georgia Tech Research Corporation Method and apparatus for predicting the onset of seizures based on features derived from signals indicative of brain activity

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6190872B1 (en) * 1994-05-06 2001-02-20 Gus J. Slotman Method for identifying and monitoring patients at risk for systemic inflammatory conditions and apparatus for use in this method
US6804551B2 (en) * 1998-03-17 2004-10-12 University Of Virginia Patent Foundation Method and apparatus for the early diagnosis of subacute, potentially catastrophic illness
AU3862200A (en) * 1999-03-01 2000-09-21 Board Of Trustees Of The Leland Stanford Junior University Rapid assay for infection in small children
DE10155600B4 (de) * 2001-11-09 2009-08-27 Oligene Gmbh Nukleinsäure-Array
US20040038201A1 (en) * 2002-01-22 2004-02-26 Whitehead Institute For Biomedical Research Diagnostic and therapeutic applications for biomarkers of infection
US7774143B2 (en) * 2002-04-25 2010-08-10 The United States Of America As Represented By The Secretary, Department Of Health And Human Services Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states
EP1565570A4 (en) * 2002-11-12 2005-12-28 Becton Dickinson Co DIAGNOSIS OF SEPTICEMIA OR SIRS USING BIOMARKER PROFILES
US20040096917A1 (en) * 2002-11-12 2004-05-20 Becton, Dickinson And Company Diagnosis of sepsis or SIRS using biomarker profiles
CN1829730A (zh) * 2002-11-12 2006-09-06 贝克顿迪金森公司 使用生物标记谱诊断脓毒或者sirs
JP2007518062A (ja) * 2003-09-29 2007-07-05 バイオサイト インコーポレイテッド 敗血症を診断する方法および診断するための組成物
TW200519384A (en) * 2003-12-12 2005-06-16 We Gene Technologies Inc Sepsis detection chip and fabricating method thereof and method of detecting sepsis
US20050196817A1 (en) * 2004-01-20 2005-09-08 Molecular Staging Inc. Biomarkers for sepsis
GB0610078D0 (en) * 2006-05-20 2006-06-28 Secr Defence Sepsis detection microarray

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6658287B1 (en) * 1998-08-24 2003-12-02 Georgia Tech Research Corporation Method and apparatus for predicting the onset of seizures based on features derived from signals indicative of brain activity

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
R. Brause et al..Neural Networks for Sepsis Prediction - the MEDAN-Project..Journal Fur Anasthesie und Intensivbehandlung11 1.2004,11(1),全文.
R. Brause et al..Neural Networks for Sepsis Prediction- the MEDAN-Project..Journal Fur Anasthesie und Intensivbehandlung11 1.2004,11(1),全文. *
US 2003/0207278 A1,参见摘要，说明书0037部分，图1-3.

Also Published As

Publication number Publication date
CN101076806A (zh) 2007-11-21
EP1839218A1 (en) 2007-10-03
GB0426982D0 (en) 2005-01-12
JP2008522604A (ja) 2008-07-03
AU2005313114A1 (en) 2006-06-15
US20080114576A1 (en) 2008-05-15
EP2458517A1 (en) 2012-05-30
CA2587270A1 (en) 2006-06-15
AU2005313114B2 (en) 2012-01-19
WO2006061644A1 (en) 2006-06-15

Similar Documents

Publication Publication Date Title
AU2005313114B2 (en) Early detection of sepsis
Meghraoui-Kheddar et al. Two new neutrophil subsets define a discriminating sepsis signature
Vanderbeke et al. Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity
Micheroli et al. Role of synovial fibroblast subsets across synovial pathotypes in rheumatoid arthritis: a deconvolution analysis
Sparks et al. A unified metric of human immune health
Darden et al. Single cell RNA-SEQ of human myeloid derived suppressor cells in late sepsis reveals multiple subsets with unique transcriptional responses: a pilot study
US10697975B2 (en) Methods for identifying, diagnosing, and predicting survival of lymphomas
Sweeney et al. Benchmarking sepsis gene expression diagnostics using public data
CN106103744B (zh) 用于预测脓毒症发作的设备、试剂盒和方法
US7711492B2 (en) Methods for diagnosing lymphoma types
Zivanovic et al. Single‐cell immune profiling reveals markers of emergency myelopoiesis that distinguish severe from mild respiratory syncytial virus disease in infants
Jukema et al. Point-of-care neutrophil and monocyte surface markers differentiate bacterial from viral infections at the emergency department within 30 min
WO2009063249A2 (en) Early detection of sepsis
Meghraoui-Kheddar et al. Two new immature and dysfunctional neutrophil cell subsets define a predictive signature of sepsis useable in clinical practice
Jergović et al. T-cell cellular stress and reticulocyte signatures, but not loss of naïve T lymphocytes, characterize severe COVID-19 in older adults
CN117230144A (zh) 抑郁症诊断、药物治疗效果预测的生物标志物
ElAbd et al. Seq2MAIT: a novel deep learning framework for identifying Mucosal Associated Invariant T (MAIT) Cells
Emgård et al. Distinct MAIT cell phenotypes associated with sepsis clinical outcome in emergency department patients
WO2025184472A1 (en) Plasma cell-free rna signatures of inflammatory syndromes in children
Tirkey et al. PREDICTIVE MODEL AND BIOMARKER FOR EARLY IDENTIFICATION AND RISK STRATIFICATION IN SEPSIS PATIENTS–A SYSTEMIC REVIEW
Arend et al. A Systematic Comparison of Differential Analysis Methods for CyTOF Data
WO2024220621A2 (en) Multi-omic profiling signatures for covid-19
CN117535407A (zh) 鼻咽癌菌群辅助诊断标志物
CN119137681A (zh) 用于疾病预测的系统和方法
Kaszubinski Postmortem Microbiome Computational Methods and Applications

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20120111

Termination date: 20131209