WO2009152437A3 - Characterization of biological samples - Google Patents

Characterization of biological samples Download PDF

Info

Publication number
WO2009152437A3
WO2009152437A3 PCT/US2009/047211 US2009047211W WO2009152437A3 WO 2009152437 A3 WO2009152437 A3 WO 2009152437A3 US 2009047211 W US2009047211 W US 2009047211W WO 2009152437 A3 WO2009152437 A3 WO 2009152437A3
Authority
WO
WIPO (PCT)
Prior art keywords
constituent
biological sample
statistical
constituents
functions
Prior art date
Application number
PCT/US2009/047211
Other languages
French (fr)
Other versions
WO2009152437A2 (en
Inventor
Ronald R. Henriquez
Jeffery D. Johnson
Simon Sheather
Ronald D. Macfarlane
Catherine J. Mcneal
Craig D. Larner
Original Assignee
Scott And White Memorial Hospital And Scott, Sherwood, And Brindley Foundation
The Texas A&M University System
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 Scott And White Memorial Hospital And Scott, Sherwood, And Brindley Foundation, The Texas A&M University System filed Critical Scott And White Memorial Hospital And Scott, Sherwood, And Brindley Foundation
Priority to AU2009257271A priority Critical patent/AU2009257271A1/en
Priority to CA2727818A priority patent/CA2727818A1/en
Priority to EP09763725.0A priority patent/EP2310848A4/en
Publication of WO2009152437A2 publication Critical patent/WO2009152437A2/en
Publication of WO2009152437A3 publication Critical patent/WO2009152437A3/en
Priority to US12/966,366 priority patent/US20110178718A1/en

Links

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
    • G01N33/92—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving lipids, e.g. cholesterol, lipoproteins, or their receptors
    • 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
    • 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

Abstract

A method of characterizing a biological sample comprising separating the biological sample into constituents; observing the separated constituents; applying statistical classification modeling to the observed constituents; deriving quantifiable data from the applied statistical classification modeling; and analyzing the data from the applied statistical classification modeling to assess a donor of the biological compounds' health. A system for characterizing a biological sample comprising a biological sample separator, wherein the biological sample separator functions to separate the biological sample into constituents; a constituent observer, wherein the constituent observer functions to confirm and qualify the presence of the constituent; a constituent statistical processor, wherein the constituent statistical processor functions to apply statistical classification modeling to the observed constituent to derive representative data; and a statistical analyzer, wherein the statistical analyzer functions to compare the representative data to benchmark values to derive a predictor for a health concern.
PCT/US2009/047211 2008-06-13 2009-06-12 Characterization of biological samples WO2009152437A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AU2009257271A AU2009257271A1 (en) 2008-06-13 2009-06-12 Characterization of biological samples
CA2727818A CA2727818A1 (en) 2008-06-13 2009-06-12 Characterization of biological samples
EP09763725.0A EP2310848A4 (en) 2008-06-13 2009-06-12 Characterization of biological samples
US12/966,366 US20110178718A1 (en) 2008-06-13 2010-12-13 Characterization of biological samples

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US6150908P 2008-06-13 2008-06-13
US61/061,509 2008-06-13

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12/966,366 Continuation-In-Part US20110178718A1 (en) 2008-06-13 2010-12-13 Characterization of biological samples

Publications (2)

Publication Number Publication Date
WO2009152437A2 WO2009152437A2 (en) 2009-12-17
WO2009152437A3 true WO2009152437A3 (en) 2010-03-25

Family

ID=41417410

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2009/047211 WO2009152437A2 (en) 2008-06-13 2009-06-12 Characterization of biological samples

Country Status (4)

Country Link
EP (1) EP2310848A4 (en)
AU (1) AU2009257271A1 (en)
CA (1) CA2727818A1 (en)
WO (1) WO2009152437A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10636512B2 (en) 2017-07-14 2020-04-28 Cofactor Genomics, Inc. Immuno-oncology applications using next generation sequencing
CN111178425B (en) * 2019-12-26 2022-11-29 哈尔滨工业大学 Surface type classification method for large-scale high-speed rotation equipment based on convolutional neural network
WO2022109732A1 (en) * 2020-11-26 2022-06-02 12535441 Canada Ltd. Spectral diagnostic system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6416967B2 (en) * 1996-07-12 2002-07-09 Precision Therapeutics, Inc. Method of using multicellular particulates to analyze malignant or hyperproliferative tissue
US20060172429A1 (en) * 2005-01-31 2006-08-03 Nilsson Erik J Methods of identification of biomarkers with mass spectrometry techniques
EP1757932A2 (en) * 2000-07-10 2007-02-28 Vertex Pharmaceuticals (San Diego) LLC Ion channel assay methods

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6416967B2 (en) * 1996-07-12 2002-07-09 Precision Therapeutics, Inc. Method of using multicellular particulates to analyze malignant or hyperproliferative tissue
EP1757932A2 (en) * 2000-07-10 2007-02-28 Vertex Pharmaceuticals (San Diego) LLC Ion channel assay methods
US20060172429A1 (en) * 2005-01-31 2006-08-03 Nilsson Erik J Methods of identification of biomarkers with mass spectrometry techniques

Also Published As

Publication number Publication date
EP2310848A4 (en) 2013-04-24
CA2727818A1 (en) 2009-12-13
EP2310848A2 (en) 2011-04-20
WO2009152437A2 (en) 2009-12-17
AU2009257271A1 (en) 2009-12-17

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