Integrated biosensor and simulation systems for diagnosis and therapy

• US 9,719,147 B1
• Filed: 08/09/2013
• Issued: 08/01/2017
• Est. Priority Date: 08/22/2003
• Status: Active Grant

• Current Assignee: Dennis Sunga Fernandez
• Original Assignee: Dennis Sunga Fernandez
• Inventors: Fernandez, Dennis Sunga
• Primary Examiner(s): Dejong, Eric S
• Application Number:
  US13/963,740
• Time in Patent Office: 1,453 Days
• 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 simulation system comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator comprising a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

whereby the simulator receives information from the biosensor platform, accesses a systems-biology platform to simulate sensor-generated data and generates an analysis of food content.

2. The system of claim 1, wherein sensors can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

3. The system of claim 1 where systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

4. The system of claim 3, whereby when the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

5. The system of claim 3, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

6. A method for sensing food comprising the steps of:

sensing food using a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses said food, said food including crops, produce, manufactured goods and products thereof;

accessing a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

simulating the information received from the biosensor platform;

generating an analysis of food content.

7. The method of claim 6, wherein the biosensor platform can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

8. The method of claim 6 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

9. The method of claim 8, whereby when the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

10. The method of claim 8, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

11. An apparatus for sensing food comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator that receives information from the biosensor platform, accesses a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network to simulate sensor-generated data and generates an analysis of food content.

12. The apparatus of claim 11, wherein the biosensor platform can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

13. The apparatus of claim 11, where systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

14. The apparatus of claim 13, whereby when the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

15. The apparatus of claim 13, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

16. An integrated biosensor and simulation system comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator comprising a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

wherein the biosensor platform sends information to the simulator, the simulator then accesses a systems-biology platform to simulate sensor-generated data, and generates an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

17. The system of claim 16, wherein the biosensor platform can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

18. The system of claim 16 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

19. The system of claim 18, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

20. A method for sensing food comprising:

sensing food with a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food, said food including crops, produce, manufactured goods and products thereof;

accessing a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

simulating the information received from the biosensor;

generating an analysis of food content;

wherein the biosensor platform sends information to the simulator, the simulator then accesses a systems-biology platform to simulate sensor-generated data, and generates an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

21. The method of claim 20, wherein the biosensor platform can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

22. The method of claim 20 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

23. The method of claim 22, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

24. An apparatus for sensing food comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a positioning chip comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator that receives information from the biosensor platform, accesses a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network to simulate sensor-generated data and generates an analysis of food content;

wherein the biosensor platform sends information to the simulator, the simulator then accesses a systems-biology platform to simulate sensor-generated data, and generates an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

25. The apparatus of claim 24, wherein the biosensor can sense one or more of the following:

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells.

26. The apparatus of claim 24 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

27. The apparatus of claim 26, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

28. An integrated biosensor and simulation system comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator comprising a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

wherein the biosensor platform can sense one or more of the following;

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells, to send information to simulator, the simulator then accessing a systems-biology platform to simulate sensor-generated data, generating an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

29. The system of claim 28 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

30. The system of claim 28, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

31. A method for sensing food comprising:

sensing food with a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food, said food including crops, produce, manufactured goods and products thereof;

accessing a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

simulating the information received from the biosensor platform;

generating an analysis of food content;

wherein the biosensor platform can sense one or more of the following;

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells, to send information to simulator, the simulator then accessing a systems-biology platform to simulate sensor-generated data, generating an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

32. The method of claim 31 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

33. The method of claim 31, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

34. An apparatus for sensing food comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator comprising a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

wherein the biosensor platform can sense one or more of the following;

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells, to send information to simulator, the simulator then accessing a systems-biology platform to simulate sensor-generated data, generating an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue.

35. The apparatus of claim 34 where the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food.

36. The apparatus of claim 34, where the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

37. A method for sensing food comprising:

sensing food with a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food, said food including crops, produce, manufactured goods and products thereof;

accessing a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

simulating the information received from the biosensor platform;

generating an analysis of food content;

wherein the biosensor platform can sense one or more of the following;

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells, to send information to simulator, the simulator then accessing a systems-biology platform to simulate sensor-generated data, generating an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue;

wherein the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food; and

wherein the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.

38. An apparatus for sensing food comprising:

a sensor unit comprising a positioning chip and biosensor platform, comprising a plurality of micro-fluidic channels or cavities forming a micro-assay or micro-array structurally on-chip that micro-fluidically senses food including crops, produce, manufactured goods and products thereof;

a simulator comprising a systems-biology platform comprising a plurality of hierarchical database structures and computationally reconfigurable simulation model structures accessible to the biosensor platform on-line remotely via a wireless network;

wherein the biosensor platform can sense one or more of the following;

DNA, RNA, vector and virus vectors, peptides or proteins, antibodies, antigens, tissue factors, lipids and fatty acids, steroids, neurotransmitters, vitamins, toxins, minerals, inorganic ions, pH, free radicals, carbohydrate sensors, small molecules, exons, metabolites, chromosomes, bacteria, fungi, protozoa, unicellular or multicellular organisms, cells, to send information to simulator, the simulator then accessing a systems-biology platform to simulate sensor-generated data, generating an analysis of food content, with the possibility that if the simulator detects potentially hazardous organism or chemical, or unknown organism or chemical, the systems-biology platform generates a report whether detected amount or range complies with pre-set amount or range, and determines whether manufacturing, crop growth or consumption is safe to continue;

wherein the systems-biology platform contains a database, said database comprising information about the sensed food, including origin, manufacturer, importer, or seller, in order to enable tracking of the sensed food; and

wherein the food content analysis generated by the simulator is stored in a storage database that can be accessed by outside source or information recipient, including packer, distributor, food vendor, food inspector, receiver, remote database, researcher, lab, government agency, health and safety maintenance organization.