Integrated biosensor and simulation system for diagnosis and therapy

• US 8,370,073 B2
• Filed: 04/14/2009
• Issued: 02/05/2013
• Est. Priority Date: 08/22/2003
• Status: Active Grant

• Current Assignee: Dennis Fernandez
• Original Assignee: Dennis Fernandez
• Inventors: Fernandez, Dennis S.
• Primary Examiner(s): DeJong, Eric S
• Application Number:
  US12/423,591
• Publication Number:
  US 20090198451A1
• Time in Patent Office: 1,393 Days
• Field of Search: None
• US Class Current: 702/19
• CPC Class Codes: A61B 2562/028 Microscale sensors, e.g. electromechanical sensors [MEMS]
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/076 Permanent implantations telemetry using implanted circuitry A61B5/0031; implanted stimulators for therapy A61N1/3605, A61N1/362, A61N1/372
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/413 Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant
• CPC Class Codes: A61B 5/415 the glands, e.g. tonsils, adenoids or thymus
• CPC Class Codes: A61B 5/418 lymph vessels, ducts or nodes
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61P 9/00 Drugs for disorders of the cardiovascular system
• CPC Class Codes: C12Q 1/04 : Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor C12Q1/6897 takes precedence
• CPC Class Codes: C12Q 1/68 : involving nucleic acids
• CPC Class Codes: C12Q 1/6886 : for cancer immunoassay for cancer G01N33/574
• CPC Class Codes: C12Q 1/70 : involving virus or bacteriophage immunoassay for viruses G01N33/56983
• CPC Class Codes: C12Q 2600/156 : Polymorphic or mutational markers
• CPC Class Codes: G01N 33/53 : Immunoassay; Biospecific binding assay; Materials therefor
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G06Q 50/22 : Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16B 5/00 : ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
• CPC Class Codes: G16B 5/20 : Probabilistic models
• CPC Class Codes: G16B 5/30 : Dynamic-time models
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/60 : relating to pathologies
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

BioMEMS/NEMS appliance biologically monitors an individual, using biosensors to detect cellular components. Data is simulated or analyzed using systems-biology software, which provides diagnostic or therapeutic guidance.

Claims

1. An integrated biosensor and systems-biology platform apparatus for sensing and simulation to automate personalized diagnosis and therapy comprising:

a biosensor platform coupled to sense a person, the biosensor platform comprising a multifunctional array of sensors configurable to sense one or more DNA, RNA, peptides, proteins, antibodies, antigens, tissue factors, vectors, virus vectors, lipids, fatty acids, steroids, neurotransmitters, inorganic ions, electrochemicals, pH, free radicals, carbohydrates, neural action, chemicals, small molecules, exons, metabolites, intermediates, chromosomes, or cells; and

a systems-biology platform coupled to the biosensor platform, the systems-biology platform comprising a controller executing software configurable to simulate one or more genomics model, proteomics model, computational chemistry model, pharmacogenomics model, computational biology model, computational biophysics model, computational cell behavior model, pharmacokinetics model, metabolomics model, transcriptomics model, or bioinformatics model;

whereby the controller integrates the biosensor platform and the systems-biology platform by reconfiguring the one or more sensor in the biosensor platform according to the one or more model in the systems-biology platform simulated by the controller automatically to generate a personalized diagnosis and therapy report.

2. An integrated biosensor and systems-biology platform apparatus for sensing and simulation to automate personalized diagnosis and therapy comprising:

a biosensor platform coupled to sense a person, the biosensor platform comprising a multifunctional array of sensors configurable to sense DNA, RNA, peptides, proteins, antibodies, antigens, tissue factors, vectors, virus vectors, lipids, fatty acids, steroids, neurotransmitters, inorganic ions, electrochemicals, pH, free radicals, carbohydrates, neural action, chemicals, small molecules, exons, metabolites, intermediates, chromosomes, and cells; and

a systems-biology platform coupled to the biosensor platform, the systems-biology platform comprising a controller executing software configurable to simulate a genomics model, a proteomics model, a computational chemistry model, a pharmacogenomics model, a computational biology model, a computational biophysics model, a computational cell behavior model, a pharmacokinetics model, a metabolomics model, a transcriptomics model, a bioinformatics model;

whereby the controller integrates the biosensor platform and the systems-biology platform by reconfiguring one or more sensor in the biosensor platform according to one or more model in the systems-biology platform simulated by the controller automatically to generate a personalized diagnosis and therapy report.