09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable and recorded software for providing access to a platform containing information on patients’ and other individuals’ medical or health care records, including conditions, diseases, treatments, visits, medical recommendations, health plan administration, lab tests, lab results, medications, messaging between staff and patient, medical records, and billing; Downloadable and recorded software for providing access to a platform that features medical information; Downloadable and recorded software for providing access to a platform for communications between patients and medical or health care providers; Downloadable and recorded software for connecting electronic medical record systems with a platform containing information on patients’ and other individuals’ medical or health care records, including conditions, diseases, treatments, visits, medical recommendations, health plan administration, lab tests, lab results, medications, messaging between staff and patient, medical records, and billing.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of non-downloadable software for providing access to a platform containing information on patients’ and other individuals’ medical or health care records, including conditions, diseases, treatments, visits, medical recommendations, health plan administration, lab tests, lab results, medications, messaging between staff and patient, medical records, and billing; Providing temporary use of non-downloadable software for providing access to a platform that features medical information; Providing temporary use of non-downloadable software for providing access to a platform for communications between patients and medical or health care providers; Providing temporary use of non-downloadable software for connecting electronic medical record systems with a platform containing information on patients’ and other individuals’ medical or health care records, including conditions, diseases, treatments, visits, medical recommendations, health plan administration, lab tests, lab results, medications, messaging between staff and patient, medical records, and billing; Platform as a service (PAAS) featuring a platform containing information on patients’ and other individuals’ medical or health care records, including conditions, diseases, treatments, visits, medical recommendations, health plan administration, lab tests, lab results, medications, messaging between staff and patient, medical records, and billing.
3.
WEAKLY SUPERVISED LEARNING WITH WHOLE SLIDE IMAGES
Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
5.
Deep Learning Models For Region Of Interest Determination
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
7.
USER INTERFACE LOG VALIDATION VIA BLOCKCHAIN SYSTEM AND METHODS
Disclosed are apparatus, systems, computer readable media, or methods wherein user interface user interactions may be electronically logged and stored based on various inputs and outputs of data from the user interface forming a digital chain of events and interactions (e.g., a blockchain). An interaction logging system is disclosed including a user tracking or logging engine configured to derive session data and user interface data storing the same into interaction tracking chains or blockchains. A validation blockchain may co-exist with a session blockchain that may be formed independently and include version data of user interface software acting as a secure verifiable history of the versions of the user interface. In a session block of the session blockchain, a pointer may be stored with the session data, wherein the pointer indicates a particular block on the validation blockchain that may assist in the validation of information stored in the session blockchain.
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
8.
TRAINING NATURAL LANGUAGE PROCESSING MODELS USING MODIFIED CROSS ENTROPY LOSS FUNCTIONS
Methods of training a natural language processing (NLP) model comprise storing classification data associated with a plurality of words, defining model input data associated with each of the plurality of words, evaluating a cross entropy loss function to derive a loss value, and adjusting the NLP model according to the loss value derived from the cross entropy loss function. The cross entropy loss function may be defined to include one or more special loss terms to support training of the NLP model on the basis of incomplete classification data, such as in cases where not all possible classes are considered by the annotator, where not all words are provided with annotated classes, where consensus has not been reached between annotators, and/or where not all classes have been defined.
Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
10.
Deep learning models for region of interest determination
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Disclosed are apparatus, systems, computer readable media, or methods wherein user interface user interactions may be electronically logged and stored based on various inputs and outputs of data from the user interface forming a digital chain of events and interactions (e.g., a blockchain). An interaction logging system is disclosed including a user tracking or logging engine configured to derive session data and user interface data storing the same into interaction tracking chains or blockchains. A validation blockchain may co-exist with a session blockchain that may be formed independently and include version data of user interface software acting as a secure verifiable history of the versions of the user interface. In a session block of the session blockchain, a pointer may be stored with the session data, wherein the pointer indicates a particular block on the validation blockchain that may assist in the validation of information stored in the session blockchain.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
12.
Classification based on characterization analysis methods and systems
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable computer software development tools; downloadable computer software, namely, a cross platform user interface component library and design system for generating user interfaces related to web applications, desktop applications, mobile applications, cloud computing, IT infrastructure and other tools and utilities for these platforms
16.
Weakly supervised learning with whole slide images
Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
17.
Classification based on characterization analysis methods and systems
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
G06N 3/04 - Architecture, e.g. interconnection topology
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A method of interpreting images and/or waveforms determines differences between populations, input sources and/or test subjects. The method includes operations. The operations include receiving a first set of data from at least one of the input sources; encoding the first received data into a first lower dimensional representation; receiving a second set of data from the at least one of the input sources or from a second input source; encoding the second received data into a second lower dimensional representation; comparing the first low dimensional representation with the second low dimensional representation to generate a reconstruction; decoding the representation to reconstruct the data into a format similar to that of the received data; and transmitting a signal corresponding to the decoded representation. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage medium are also described.
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 70/60 - ICT specially adapted for the handling or processing of medical references relating to pathologies
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
19.
IMAGE OR WAVEFORM ANALYSIS METHOD, SYSTEM AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
A method of interpreting images and/or waveforms determines differences between populations, input sources and/or test subjects.. The method includes operations. The operations include receiving a first set of data from at least one of the input sources; encoding the first received data into a first lower dimensional representation; receiving a second set of data from the at least one of the input sources or from a second input source; encoding the second received data into a second lower dimensional representation; comparing the first low dimensional representation with the second low dimensional representation to generate a reconstruction; decoding the representation to reconstruct the data into a format similar to that of the received data; and transmitting a signal corresponding to the decoded representation. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage medium are also described.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software for anonymizing personal information; software for securely and cryptographically anonymizing patient data; software for transforming protected datasets containing personal information into anonymized data for analysis, clinical insight and research; pre-recorded USB flash drives featuring anonymized data for analysis, clinical insight and research. Processing aggregate anonymized data and analytic information to a mobile application. Transmission of anonymized data and analytic information by electronic means; providing access to computer databases that provide for the automated obfuscation, interchange and manipulation of data; provision of communication facilities for the obfuscation, interchange and manipulation of data by electronic means, namely, providing electronic databases for transmission of anonymized data. Software as a service (SAAS) services featuring software and application programming interface (API) solutions for the generation and provision of large-scale, anonymized data for analysis, clinical insight and research; providing an online interactive database in the field of bioinformatics and medical research; creating searchable and usable databases, namely, database design and development for others featuring anonymized data; Consulting, design and development services.
A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/62 - Methods or arrangements for recognition using electronic means
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Disclosed are apparatus, systems, computer readable media, or methods wherein user interface user interactions may be electronically logged and stored based on various inputs and outputs of data from the user interface forming a digital chain of events and interactions (e.g., a blockchain). An interaction logging system is disclosed including a user tracking or logging engine configured to derive session data and user interface data storing the same into interaction tracking chains or blockchains. A validation blockchain may co-exist with a session blockchain that may be formed independently and include version data of user interface software acting as a secure verifiable history of the versions of the user interface. In a session block of the session blockchain, a pointer may be stored with the session data, wherein the pointer indicates a particular block on the validation blockchain that may assist in the validation of information stored in the session blockchain.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non¬ tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.
In one aspect, the invention relates to method and systems for automating medical data processing and counseling. A method may include receiving a selection of a condition associated with a plurality of diagnosis possibilities for a patient. The method may further include displaying candidate treatment options based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient. The method may also include receiving a selection of a candidate treatment option from the candidate treatment options displayed and a regimen associated with the candidate treatment option selected. The method may additionally include determining a diagnosis for the patient based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient, the candidate treatment option, and the regimen. The diagnosis may be one of the plurality of diagnosis possibilities for the patient.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
25.
Display screen or portion thereof with graphical user interface
A system for mobile carrier-centric data record custodians is provided and includes cellular network interfaces that transmit and receive wireless communication over a cellular network, an electronic medical record (EMR) database that stores EMRs, and a mobile account management server coupled with the cellular network interfaces and the EMR database, the mobile account management server receiving an EMR request associated with a mobile user account over the cellular network, querying the EMR database for a results set having EMRs satisfying the query, generating a plurality of EMR responses to the EMR request as a function of the results set and state information associated with the cellular network, and transmitting the plurality of EMR responses over the plurality of cellular network interfaces to the mobile device via the cellular network, the plurality of EMR responses being formatted for wireless protocols of the cellular network interfaces over which they are transmitted.
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
27.
Display screen or portion thereof with graphical user interface
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
G06N 3/04 - Architecture, e.g. interconnection topology
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
In one aspect, the invention relates to method and systems for automating medical data processing and counseling. A method may include receiving a selection of a condition associated with a plurality of diagnosis possibilities for a patient. The method may further include displaying candidate treatment options based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient. The method may also include receiving a selection of a candidate treatment option from the candidate treatment options displayed and a regimen associated with the candidate treatment option selected. The method may additionally include determining a diagnosis for the patient based upon, at least in part, the condition associated with the plurality of diagnosis possibilities for the patient, the candidate treatment option, and the regimen. The diagnosis may be one of the plurality of diagnosis possibilities for the patient.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A multi-layered pharmaceutical delivery system is contemplated in which the delivery of medicaments to patients is controlled via the sequential delivery of medicaments contained within ingestible solid pharmaceutical layers, preferably frozen in a media that liquefies following ingestion by a patient so as to release the medicament when ingested by melting. A frozen ice pop embodiment is contemplated to contain an outermost ingestible pharmaceutical layer enclosing further ingestible pharmaceutical layers sequentially enclosed within that inner pharmaceutical layer. Other embodiments are contemplated in which the layers are linearly sequenced within an external container that prevents ingestion of the subsequent layers until the prior layers have been ingested.
A61K 47/16 - Organic compounds, e.g. natural or synthetic hydrocarbons, polyolefins, mineral oil, petrolatum or ozokerite containing nitrogen
A61K 47/20 - Organic compounds, e.g. natural or synthetic hydrocarbons, polyolefins, mineral oil, petrolatum or ozokerite containing sulfur, e.g. dimethyl sulfoxide [DMSO], docusate, sodium lauryl sulfate or aminosulfonic acids
33.
USER INTERFACE LOG VALIDATION VIA BLOCKCHAIN SYSTEM AND METHODS
Disclosed are apparatus, systems, computer readable media, or methods wherein user interface user interactions may be electronically logged and stored based on various inputs and outputs of data from the user interface forming a digital chain of events and interactions (e.g., a blockchain). An interaction logging system is disclosed including a user tracking or logging engine configured to derive session data and user interface data storing the same into interaction tracking chains or blockchains. A validation blockchain may co-exist with a session blockchain that may be formed independently and include version data of user interface software acting as a secure verifiable history of the versions of the user interface. In a session block of the session blockchain, a pointer may be stored with the session data, wherein the pointer indicates a particular block on the validation blockchain that may assist in the validation of information stored in the session blockchain.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
34.
Modular mattress and bedframe system with surface positioning actuators
The inventive subject matter provides a modular mattress system wherein the mattress surface may be adjusted for positioning of a user's body. The mattress system deploys a number of interconnected mattress cells. The mattress cells may have varying characteristics, and combinations of mattress cells may be interconnected to form a complete mattress. The proximal surface is formed of padding material and collectively form the entire mattress surface when connected. At least one actuator is mechanically coupled to padding material and an actuator controller in communication therewith directs movement of the actuator to position the padding material. A mattress cell communication interface is communicably coupled to the actuator controller and configured to communicably couple with at least one external device.
A61G 7/057 - Arrangements for preventing bed-sores or for supporting patients with burns, e.g. mattresses specially adapted therefor
A47C 31/00 - Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
A47C 27/12 - Spring, stuffed or fluid mattresses specially adapted for chairs, beds or sofas with fibrous inlays, e.g. made of wool, of cotton
A47C 27/10 - Fluid mattresses with two or more independently-fillable chambers
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Maintaining personal medical history records and files. Scientific research services for both medical and non-medical purposes; scientific research services for both medical and non-medical purposes based on genomic and proteomic analyses and providing custom consulting services related thereto; development of new technology for others in the field of genomics and proteomics. Medical diagnostic testing; medical diagnostic testing in the field of genomic analysis and proteomic analysis and providing results of said testing online via the Internet or telecommunication networks; medical consulting services in the field of genomics and proteomics; providing an online interactive database in the field of medical diagnostic testing featuring patient medical information; providing medical information and news in the field of genomics and proteomics; medical maintenance of medical records.
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
(1) Maintenance of medical records
(2) Providing medical news in the field of genomics and proteomics.
(3) Scientific research services based on genomic and proteomic analyses and providing custom consulting services related thereto; development of new technology for others in the field of genomics and proteomics
(4) Medical diagnostic testing in the field of genomic analysis and proteomic analysis and providing results of said testing online via the Internet or telecommunication networks; medical consulting services in the field of genomics and proteomics; providing information in the field of medical diagnostic testing featuring patient medical information via an online interactive database; providing medical information in the field of genomics and proteomics
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Scientific research services for both medical and non-medical purposes based on genomic and proteomic analyses and providing custom consulting services related thereto; development of new technology for others in the field of genomics and proteomics. Medical diagnostic testing in the field of genomic analysis and proteomic analysis and providing results of said testing online via the Internet or telecommunication networks; medical consulting services in the field of genomics and proteomics; providing an online interactive database in the field of medical diagnostic testing featuring patient medical information; providing medical information and news in the field of genomics and proteomics; maintenance of medical records.
39.
MOBILE CARRIER-CENTRIC DATA RECORD CUSTODIAN SYSTEMS AND METHODS
A system for mobile carrier-centric data record custodians is provided and includes cellular network interfaces that transmit and receive wireless communication over a cellular network, an electronic medical record (EMR) database that stores EMRs, and a mobile account management server coupled with the cellular network interfaces and the EMR database, the mobile account management server receiving an EMR request associated with a mobile user account over the cellular network, querying the EMR database for a results set having EMRs satisfying the query, generating a plurality of EMR responses to the EMR request as a function of the results set and state information associated with the cellular network, and transmitting the plurality of EMR responses over the plurality of cellular network interfaces to the mobile device via the cellular network, the plurality of EMR responses being formatted for wireless protocols of the cellular network interfaces over which they are transmitted.
A system for mobile carrier-centric data record custodians is provided and includes cellular network interfaces that transmit and receive wireless communication over a cellular network, an electronic medical record (EMR) database that stores EMRs, and a mobile account management server coupled with the cellular network interfaces and the EMR database, the mobile account management server receiving an EMR request associated with a mobile user account over the cellular network, querying the EMR database for a results set having EMRs satisfying the query, generating a plurality of EMR responses to the EMR request as a function of the results set and state information associated with the cellular network, and transmitting the plurality of EMR responses over the plurality of cellular network interfaces to the mobile device via the cellular network, the plurality of EMR responses being formatted for wireless protocols of the cellular network interfaces over which they are transmitted.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
A method for facilitating a personal health operating system (PHOS) is provided in one example embodiment and includes extracting data into a mobile device that includes a portable health virtual machine executing the PHOS using a processor couples to a memory element, generating an N-gram dataset comprising data indicative and predictive of fitness of an individual, generating, in the PHOS, an N-gram from the N-gram dataset from the data according to a data structure indicative and predictive of fitness of an individual, the fitness including a numerical index representing a composite effect of various health conditions of the individual including interdependencies of the health conditions, generating an N-gram based on the N-gram dataset and calculating the individual's fitness using the N-gram.
G16H 50/00 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
(1) Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses and to reduce costs and unnecessary utilization in the treatment of critical illnesses; Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
(1) Computer services, namely, providing search engines for obtaining data in the field of critical illnesses via a global computer network; Providing a database of information in the fields of critical illnesses and treatment regimens.
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Application service provider (ASP); Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses and to reduce costs and unnecessary utilization in the treatment of critical illnesses. Personal and social services rendered by others to meet the needs of individuals; Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Databases; medical databases; oncology databases. Search engines (Providing -) for the internet; Computer services, namely providing search engines for obtaining data in the field of critical illnesses via a global computer network; Database design and development; Maintenance of data bases; Providing medical and scientific research information in the field of pharmaceuticals and clinical trials. Providing a database of information in the fields of critical illnesses and treatment regimens; Providing medical information.
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses and to reduce costs and unnecessary utilization in the treatment of critical illnesses Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
(1) Consulting services to reduce costs and unnecessary utilization in the treatment of critical illnesses; Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses; Managed health care services; consulting services in the field of health, namely, consulting services among medical providers, insurers, and patients with critical illnesses; providing medical information, consultancy, and advisory services; medical counseling services for patients and their families; consulting services in the field of health, namely, medical treatment plan review and validation; tracking patient treatment, progress, concerns, and compliance issues, namely, maintaining a database for others in the field of critical illness treatment information and featuring inputting and collection of data and information all for treatment and diagnostic purposes; Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
45 - Legal and security services; personal services for individuals.
Goods & Services
Business management; Business administration; Office functions; Consulting services to reduce costs and unnecessary utilization in the treatment of critical illnesses. Application service provider (ASP); Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses. Health care; Managed health care services; consulting services in the field of health, namely, consulting services among medical providers, insurers, and patients with critical illnesses; providing medical information, consultancy, and advisory services; medical counseling services for patients and their families; consulting services in the field of health, namely, medical treatment plan review and validation; tracking patient treatment, progress, concerns, and compliance issues, namely, maintaining a database for others in; the field of critical illness treatment information and featuring inputting and collection of data and information all for treatment and diagnostic purposes. Personal and social services rendered by others to meet the needs of individuals; Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
45 - Legal and security services; personal services for individuals.
Goods & Services
Consulting services to reduce costs and unnecessary utilization in the treatment of critical illnesses Providing temporary use of a non-downloadable web-based software application to ensure selection of and reimbursement for appropriate treatments for critical illnesses Managed health care services; consulting services in the field of health, namely, consulting services among medical providers, insurers, and patients with critical illnesses; providing medical information, consultancy, and advisory services; medical counseling services for patients and their families; consulting services in the field of health, namely, medical treatment plan review and validation; tracking patient treatment, progress, concerns, and compliance issues, namely, maintaining a database for others in the field of critical illness treatment information and featuring inputting and collection of data and information all for treatment and diagnostic purposes Case management services, namely, coordination of services among medical providers, insurers, and patients with critical illnesses
50.
IMAGE OR WAVEFORM ANALYSIS METHOD, SYSTEM AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
A method of interpreting images and/or waveforms determines differences between populations, input sources and/or test subjects.. The method includes operations. The operations include receiving a first set of data from at least one of the input sources; encoding the first received data into a first lower dimensional representation; receiving a second set of data from the at least one of the input sources or from a second input source; encoding the second received data into a second lower dimensional representation; comparing the first low dimensional representation with the second low dimensional representation to generate a reconstruction; decoding the representation to reconstruct the data into a format similar to that of the received data; and transmitting a signal corresponding to the decoded representation. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage medium are also described.
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
51.
SYNTHETIC GENOMIC VARIANT-BASED SECURE TRANSACTION DEVICES, SYSTEMS AND METHODS
Various devices, systems, structures and methods are disclosed related to securely authorizing a transaction by synchronizing digital genomic data with associated synthetic genomic variants. An embodiment of the present invention utilizes digital genomic data associated with an entity, such as a person, who may utilize a genome-based security device to complete a transaction. In one embodiment, a person may use a genome-based security device to communicate with an external device over a wireless or other communication interface, synchronize digital genomic data and an associated synthetic variant received from the external device with digital genomic data and associated synthetic variant stored on the genome-based security device.
G16B 50/30 - Data warehousingComputing architectures
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
