Abstract: A structured coffee composition and to various items made using such coffee composition are provided. The structured coffee composition is suitable for use in one or more of automatic drip coffee makers, single serving coffee makers, percolating coffee makers, moka pot coffee makers, French press coffee makers, vacuum coffee makers, expresso coffee makers, thermal coffee makers, or any combination of two or more thereof.

Abstract: The present invention relates generally to an immunotherapeutic composition. More particularly, the present invention relates to an immunotherapeutic composition which interacts immunologically with T lymphocytes in subjects having peanut allergy or allergy to other tree nuts. This composition is preferably immunointeractive with T cells in subjects having an allergy to the Ara h 1 and/or Ara h 2 allergens. The composition of the present invention is useful in the therapeutic or prophylactic treatment of conditions characterised by an aberrant, inappropriate or otherwise unwanted immune response to peanut, Ara h 1 and/or Ara h 2 or derivative or homologue thereof.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: The present invention relates generally to an immunotherapeutic composition. More particularly, the present invention relates to an immunotherapeutic composition which interacts immunologically with T lymphocytes in subjects having peanut allergy or allergy to other tree nuts. This composition is preferably immunointeractive with T cells in subjects having an allergy to the Ara h 1 and/or Ara h 2 allergens. The composition of the present invention is useful in the therapeutic or prophylactic treatment of conditions characterised by an aberrant, inappropriate or otherwise unwanted immune response to peanut, Ara h 1 and/or Ara h 2 or derivative or homologue thereof.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: The present invention relates generally to an immunotherapeutic composition. More particularly, the present invention relates to an immunotherapeutic composition which interacts immunologically with T lymphocytes in subjects having peanut allergy or allergy to other tree nuts. This composition is preferably immunointeractive with T cells in subjects having an allergy to the Ara h 1 and/or Ara h 2 allergens. The composition of the present invention is useful in the therapeutic or prophylactic treatment of conditions characterised by an aberrant, inappropriate or otherwise unwanted immune response to peanut, Ara h 1 and/or Ara h 2 or derivative or homologue thereof.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A method and system of measuring a direct current magnetic field using a plurality of spin centers are disclosed. A spin bath associated with the spin centers may be driven with a first source of electromagnetic radiation to reduce dephasing of the spin centers. The spin centers may be measured using double quantum (DQ) magnetometry in order to reduce the effects of crystal strain on spin dephasing times. An electromagnetic response of at least one of the plurality of spin centers may be observed using an electromagnetic radiation collection device. Accordingly, up to an eight times improvement in DC field sensitivity may be accomplished for a spin center ensemble.

Abstract: A method and system of improving T2* times for magnetic sensing using spin center ensembles is disclosed. The spin bath associated with the spin centers may be driven with a first source of electromagnetic radiation to reduce dephasing of the spin centers. The spin centers may be measured using double quantum (DQ) magnetometry in order to reduce the effects of crystal strain on T2*. Accordingly, up to an 8× improvement in DC field sensitivity may be accomplished for a spin center ensemble.

Abstract: Solid-state spin sensor systems and methods of manufacturing are disclosed. A mounting structure may be provided in thermal contact with a solid-state spin sensor having a plurality of color center defects such that thermal energy flows from the solid-state spin sensor to the mounting structure. A microwave application structure may be disposed on a face of the mounting structure or a face of the solid-state spin sensor for applying microwave radiation to the solid-state spin sensor.

Abstract: A system and method for performing vector magnetometry are described. A method can include illuminating diamond with a modulated optical signal and a modulated microwave (MW) signal. A first, bias magnetic field is also applied to the diamond. Light emitted from the diamond in response to the optical signal, the MW signal, and the first magnetic field is detected via a single detector at a fixed position relative to the diamond. A modulation of the detected light encodes information corresponding to a plurality of nitrogen vacancy (NV) axes of the diamond.

Abstract: A system and method for performing vector magnetometry are described. A method can include illuminating diamond with a modulated optical signal and a modulated microwave (MW) signal. A first, bias magnetic field is also applied to the diamond. Light emitted from the diamond in response to the optical signal, the MW signal, and the first magnetic field is detected via a single detector at a fixed position relative to the diamond. A modulation of the detected light encodes information corresponding to a plurality of nitrogen vacancy (NV) axes of the diamond.

Abstract: Solid-state spin sensor systems and methods of manufacturing are disclosed. A mounting structure may be provided in thermal contact with a solid-state spin sensor having a plurality of color center defects such that thermal energy flows from the solid-state spin sensor to the mounting structure. A microwave application structure may be disposed on a face of the mounting structure or a face of the solid-state spin sensor for applying microwave radiation to the solid-state spin sensor.

Abstract: The present invention relates generally to an immunotherapeutic composition. More particularly, the present invention relates to an immunotherapeutic composition which interacts immunologically with T lymphocytes in subjects having peanut allergy or allergy to other tree nuts. This composition is preferably immunointeractive with T cells in subjects having an allergy to the Ara h 1 and/or Ara h 2 allergens. The composition of the present invention is useful in the therapeutic or prophylactic treatment of conditions characterised by an aberrant, inappropriate or otherwise unwanted immune response to peanut, Ara h 1 and/or Ara h 2 or derivative or homologue thereof.

Abstract: A system, method, and computer-readable storage medium configured to the electronic detection and presentation of available payment types by a mobile user device.