WO2025072096A1 - Dispositif, système et procédé de gestion de maladie - Google Patents

Dispositif, système et procédé de gestion de maladie Download PDF

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WO2025072096A1
WO2025072096A1 PCT/US2024/048008 US2024048008W WO2025072096A1 WO 2025072096 A1 WO2025072096 A1 WO 2025072096A1 US 2024048008 W US2024048008 W US 2024048008W WO 2025072096 A1 WO2025072096 A1 WO 2025072096A1
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data
patient
mobile device
clinical
browser
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Animesh SINHA
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Myshin LLC
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Myshin LLC
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • This disclosure relates to a digital database comprising patient data from patients with Pemphigus vulgaris.
  • this disclosure provides a mobile device for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, said device comprising a mobile device processor, a mobile device memory, a mobile device display, a mobile device radio transceiver that supports voice and data interactions through a communication channel and a mobile device wireless fidelity (Wi-Fi) transceiver; said mobile device is adapted to implement the following: receiving, at a non-browser based application on said mobile device, said patient data through user input; wherein said data include one or more of the following: clinical data, biologic data, exposome data, social determinant of health survey data, social quality of life survey data, and microbiome data; wherein the non-browser based application is a mobile operating system platform based
  • this disclosure provides a web-browser-based computer-implemented system for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, said system comprising a processor, a memory, a display, a radio transceiver that supports voice and data interactions through a communication channel and a wireless fidelity (Wi-Fi) transceiver; said system is adapted to implement the following: receiving, at a browser based application or website, said patient data through user input; wherein said data include one or more of the following: clinical data, biologic data, exposome data, social determinant of health survey data, social quality of life survey data; transmitting said patient data to a remote management server, which server tracks, processes, and analyzes the patient data and maintains the patient data in
  • this disclosure provides a computer-implemented method for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, comprising: receiving, at a non-browser based application on a disclosed mobile device and/or a disclosed web- browser-based computer-implemented system, said patient data from patients through user input; wherein said data include one or more of the following: clinical data, biologic data, exposome data, social determinant of health survey data, social quality of life survey data, microbiome data; transmitting said patient data to a remote management server, which server tracks, processes, and analyzes the patient data and maintains the patient data in a database.
  • FIG. 1 illustrates a block diagram of a communication system including a mobile device and a management server in accordance with one implementation.
  • FIG. 2 illustrates one implementation of the web-browser-based computer-implemented system for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris, Bullous pemphigoid and related conditions and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris, Bullous pemphigoid and related conditions
  • FIG. 3 is a block diagram of a data processing system suitable for storing and/or executing program code in accordance with one implementation.
  • the word “a” or “plurality” before a noun represents one or more of the particular noun.
  • an “individual,” a “patient” and a “subject” are interchangeable terms and may refer to a human patient/subject, a dog, a cat, a non-human primate, etc.
  • compositions and methods described herein can include any combination of features and/or steps described herein not inconsistent with the objectives of the present disclosure. Numerous modifications and/or adaptations of the compositions and methods described herein will be readily apparent to those skilled in the art without departing from the present subject matter.
  • Autoimmune disease prevalent in the population, is a major healthcare burden; an autoimmune disease is when a host’s immune system attacks one or more self-antigens (autoantigens).
  • autoantigens self-antigens
  • autoimmune diseases There are over 100 known human autoimmune diseases, affecting between 5-10% of the population. Autoimmune diseases are the 2 nd or 3 rd leading cause of morbidity and mortality and cost the US healthcare system over $100 billion annually. Lupus, myasthenia gravis, multiple sclerosis, type 1 diabetes, Pemphigus vulgaris and Bullous pehmpigoid are some examples of autoimmune diseases. [0020] Pemphigus and Pemphigoid fall within the broader group of autoimmune blistering disorders, representing diseases of stratified squamous epithelia, such as the skin and oral mucosa, in which acantholysis (the loss of cell adhesion) causes blisters and erosions.
  • acantholysis the loss of cell adhesion
  • Pemphigus has three major subtypes: pemphigus vulgaris (and related variants), pemphigus foliaceus and paraneoplastic pemphigus, among others.
  • Pemphigoid has several related variants as well, including: mucous membrane pemphigoid, linear IGA disease, and herpes gestationis, among others.
  • Pemphigus vulgaris is a potentially life-threatening IgG-mediated autoimmune blistering skin disease, characterized by intraepithelial (suprabasalar) acantholysis, which is a loss of cell-cell adhesion.
  • Bullous pemphigoid is similarly a serious IgG-mediated autoimmune blistering skin disease, characterized by subepithelial acantholysis.
  • HLA genetic predisposition HLA DRB 1 *0402 and DQB 1 *0503
  • T cell Thi driven
  • B cell subsets producing I G4 autoantibodies
  • two main autoantibody targets autoantigens
  • Dsg Desmoglein
  • Desmoglein-1 Desmoglein-1
  • BP is similarly linked to select HLA genetic markers and dependent upon autoreactive T and B cell activation.
  • Two main autoantibody targets (autoantigens) - BPAG1 and BPAG2 - have been identified in patients with BP. Other autoantigens have been identified as well.
  • Dsg3 and Dsgl are keratinocyte-associated cell surface proteins relevant to cell-cell adhesion.
  • Anti-Dsg3 and anti-Dsgl autoantibodies can be detected in human PV patients and can be followed by ELISA. The titers roughly correlate with disease activity and serves as disease biomarkers.
  • BPAG1 and BPAG2 are keratinocyte-associated proteins relevant to cell-cell adhesion.
  • Anti- BPAG1 and BPAG2 autoantibodies can be detected in human BP patients and can be followed by ELISA. The titers roughly correlate with disease activity and serves as disease biomarkers.
  • PV and related conditions and BP and related conditions are complex diseases. They are polygenic diseases and can be influenced by environmental factors.
  • the mobile device is a mobile communication device, such as a smart phone (for example, an iPhone, an android phone, etc.), a tablet computing device (for example, an iPad, an android tablet, etc.), a smart watch, a Fitbit, etc.
  • the mobile device is for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions.
  • the mobile device comprises a mobile device processor, a mobile device memory, a mobile device display, a mobile device radio transceiver that supports voice and data interactions through a communication channel and a mobile device wireless fidelity (Wi-Fi) transceiver.
  • a mobile device processor a mobile device memory
  • a mobile device display a mobile device display
  • a mobile device radio transceiver that supports voice and data interactions through a communication channel
  • a mobile device wireless fidelity (Wi-Fi) transceiver WiFi
  • the mobile device is further adapted to implement transmitting to the user via the non-browser based application an alert with clinical utility.
  • the alert with clinical utility is an alert for taking medication, an alert on clinical appointment, clinical trial opportunities and appointments, or an alert on sample collection time. Such alerts can be set up automatically by the app or manually by a user.
  • the mobile device is further adapted to implement providing links to the user to one or more of expert providers, clinical trials, patient support groups, and educational resources. Provision of such links can be set up automatically by the app or manually by a user.
  • the user is a patient or someone acting on behalf of the patient, a research investigator or someone acting on behalf of a research investigator, or a medical care provider or someone acting on behalf of a medical care provider.
  • the patient data include links to patient information associated with a biological sample repository.
  • the biological sample repository is a repository of one or more DNA samples, RNA samples, serum, skin, and peripheral blood mononuclear cells.
  • the server analyzes the patient data using one or more of an analytic platform, an algorithm, and artificial intelligence.
  • the clinical data comprise one or more of a patient’s medical history, medical diagnosis, demographics, laboratory data, medicine, family relationships.
  • the biologic data comprise one or more genetic data, epigenetic data, transcriptomic data, autoantibody data, cytokine data, immune cellular subset data, basic clinical blood work data, and basic clinical vitals data.
  • This disclosure provides a web-browser-based computer-implemented system for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions.
  • the system comprises a processor, a memory, a display, a radio transceiver that supports voice and data interactions through a communication channel and a wireless fidelity (Wi-Fi) transceiver.
  • Wi-Fi wireless fidelity
  • the system includes a computer, such as a desk top computer or a laptop computer, a personal computer, a mini-computer, a mainframe computer, etc.
  • the system includes a remote management server.
  • the system is adapted to implement the following: receiving, at a browser based application or website, said patient data through user input; wherein said data include one or more of the following: clinical data, biologic data, exposome data, social determinant of health survey data, social quality of life survey data; transmitting said patient data to a remote management server, which server is adapted to track, process, and analyze the patient data and maintains the patient data in a database; retrieving said patient data from said database and displaying said data on the display on the website or within the browser based application.
  • the web-browser-based computer-implemented system is further adapted to implement transmitting to the user via the browser based application or website an alert with clinical utility.
  • the alert with clinical utility is an alert for taking medication, an alert on clinical appointment, or an alert on sample collection time. Such alerts can be set up automatically by the app or website or manually by a user.
  • system is further adapted to implement providing links to the user to one or more of expert providers, clinical trials, patient support groups, and educational resources. Provision of such links can be set up automatically by the app or website or manually by a user.
  • the user is a patient or someone acting on behalf of the patient, a research investigator or someone acting on behalf of a research investigator, or a medical care provider or someone acting on behalf of a medical care provider.
  • the patient data include links to patient information associated with a biological sample repository.
  • the biological sample repository is a repository of one or more DNA samples, RNA samples, serum, skin, and peripheral blood mononuclear cells.
  • the server analyzes the patient data using one or more of an analytic platform, an algorithm, and artificial intelligence.
  • the clinical data comprise one or more of a patient’s medical history, medical diagnosis, demographics, laboratory data, medicine, family relationships.
  • the biologic data comprise one or more genetic data, epigenetic data, transcriptomic data, autoantibody data, cytokine data, immune cellular subset data, basic clinical blood work data, and basic clinical vitals data.
  • the exposome data comprise one or more of infection status data, vaccination status data, medication, sleep, food/nutrition, stress, and exercise.
  • the social determinants of health survey data comprises one or more of the following data: health care access and/or quality, education access and/or quality, social and community context, economic stability, and neighborhood and built environment.
  • the database comprises all these data.
  • This disclosure provides a computer-implemented method for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions, and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris and related conditions or on patients with Bullous pemphigoid and related conditions.
  • the method comprises: receiving, at a non-browser based application on a disclosed mobile device and/or a disclosed web-browser-based computer- implemented system, said patient data through user input; wherein said data include one or more of the following: clinical data, biologic data, exposome data, social determinant of health survey data, social quality of life survey data, microbiome data; transmitting said patient data to a remote management server, tracking, processing, and/or analyzing the patient data and maintaining the patient data in a database at the remote server.
  • the computer-implemented method further comprises retrieving said patient data from said database and displaying said data on the mobile device display within the non-browser based application or on the website or within the browser based application.
  • the method further comprises transmitting to the user via the non- browser based application an alert with clinical utility.
  • the alert with clinical utility is an alert for taking medication, an alert on clinical appointment, and alert on clinical trial opportunities or appointments, or an alert on sample collection time. Such alerts can be set up automatically by the app or website or manually by a user.
  • the method further comprises providing links to the user to one or more of expert providers, clinical trials, patient support groups, and educational resources.
  • Provision of such links can be set up automatically by the app or website or manually by a user.
  • the user is a patient or someone acting on behalf of the patient, a research investigator or someone acting on behalf of a research investigator, or a medical care provider or someone acting on behalf of a medical care provider.
  • the patient data include links to patient information associated with a biological sample repository.
  • the biological sample repository is a repository of one or more DNA samples, RNA samples, serum, skin, and peripheral blood mononuclear cells.
  • the server analyzes the patient data using one or more of an analytic platform, an algorithm, and artificial intelligence.
  • the clinical data comprise one or more of a patient’s medical history, medical diagnosis, demographics, laboratory data, medicine, family relationships.
  • the biologic data comprise one or more genetic data, epigenetic data, transcriptomic data, autoantibody data, cytokine data, immune cellular subset data, basic clinical blood work data, and basic clinical vitals data.
  • the exposome data comprise one or more of infection status data, vaccination status data, medication, sleep, food/nutrition, stress, and exercise.
  • the social determinants of health survey data comprises one or more of the following data: health care access and/or quality, education access and/or quality, social and community context, economic stability, and neighborhood and built environment.
  • the database comprises all these data.
  • the device, system and method disclosed herein result in a digital database of patients with PV.
  • the database constructs biological and clinical profiles to deconstruct disease complexity.
  • the database has biological profiles of patients with PV and related conditions or BP and related conditions. These profiles include genetic profiles, transcriptional profiles, cytokine profiles, and autoantibody profiles, microbiome profiles, basic blood value profiles, among others.
  • the database has clinical profiles of patients with PV and related conditions or BP and and related conditions.
  • the clinical profiles provide dynamic parameters of disease, such as disease phase information, morphology of lesions, disease duration, therapy, and outcome, and static parameters of disease, such as gender, age of onset, HL A type.
  • therapies and disease management can be tailored to each patient, depending on the patient’s data and profiles, as compared to profiles and data already in the database.
  • the digital database provides structured data.
  • the data provide a better understanding of disease processes, such as disease susceptibility/induction, disease expression/progression, and therapeutic outcomes.
  • the digital database allows use of next generation medical technologies, such as immunoprofiling, exome/genome sequencing, deep transcriptomics, miRNA profiling, metabolomics, microbiome, structural imaging, and sensors/point of care.
  • the digital database provides medical informatics, such as universal intake protocols, image capture, seamless EMR/blockchain, universal (robotic) biobanking, longitudinal monitoring, and real-time, mobile input/access.
  • the digital database allows for better clinical applications, such as biomarkers/digital disease maps - genetic /genomic/ proteomic - of disease with relevance to: diagnosis, prognosis, and response to treatment.
  • Disease managem ent/Treatment becomes targeted, specific and individualized.
  • the digital database allows medicine, biology, and high technology to merge, for patient benefit. Every patient encounter is designed for biological/clinical data generation. Investigation is interwoven into the “DNA of patient care,” allowing for interdisciplinary, team approach to science and patient care.
  • the disclosed mobile device, system, and method represent a digital solution to allow the collection of multi-sourced, large scale, real time data.
  • the data collected include Clinical intake /Pemphigus disease activity index (PDAI)/Bullous Pemphigus disease and activity index (BPADAI), photo uploading, logs: medicine/food/sleep/stressors, among others.
  • PDAI Clinical intake /Pemphigus disease activity index
  • BPADAI Bullous Pemphigus disease and activity index
  • photo uploading logs: medicine/food/sleep/stressors, among others.
  • alerts can be provided to appointments, medicine, sample collection.
  • links can be provided to expert providers, clinical trials, support groups, educations resources.
  • the mobile application can be part of a sensor, such as being an application on a mobile device such as a smart watch, a glucose monitor, etc.
  • the sensor can monitor and record in the digital database, in real time, a patient’s data, including physical activity, mobility, hearing, heart rate, ECG, respiratory rate, sleep, vitals, blood sugar, body temperature, and blood oxygen saturation, among others.
  • the database includes link to patient information associated with sample repository (tube numbers, collection dates, location, volume, use, etc.).
  • the samples include DNA, RNA, serum, skin biopsy, peripheral blood mononuclear cell sample.
  • the data can be inputted with varying frequency (daily, weekly, monthly, etc.), depending on the type of data, patient, access to data, etc.
  • the data can be analyzed using various analytic platforms, algorithms, artificial intelligence.
  • FIG. 1 illustrates a block diagram of a communication system 100 including a mobile device 101 and a remote server 103 in accordance with one implementation.
  • a user inputs patient data 104 on patients with Pemphigus vulgaris through an app 102 on the mobile device 101.
  • the patient data are transmitted from the mobile device app 102 to a remote management server 103, which server is adapted to track, process and analyze the patient data and maintain the patient data in a database.
  • FIG. 2 illustrates one implementation of the web-browser-based computer-implemented system 200 for tracking, processing and analyzing patient data on patients with Pemphigus vulgaris and establishing and maintaining a database on patient data on patients with Pemphigus vulgaris.
  • the system 200 includes a computer 201, which can be a desktop computer or a laptop computer, a personal computer, a mainframe computer, etc., and a remote server 205 in accordance with one implementation.
  • a user inputs patient data 204 on patients with Pemphigus vulgaris through an app 203 or a website 202 on the computer 301.
  • FIG. 3 illustrates a block diagram of a data processing system 300 suitable for storing and/or executing program code in accordance with one implementation.
  • Data processing system 300 includes a processor 302 coupled to memory elements 304A-B through a system bus 306.
  • data processing system 300 may include more than one processor and each processor may be coupled directly or indirectly to one or more memory elements through a system bus.
  • Memory elements 304A-B can include local memory employed during actual execution of the program code, bulk storage, and cache memories that provide temporary storage of at least some program code in order to reduce the number of times the code must be retrieved from bulk storage during execution.
  • I/O devices 308A-B are coupled to data processing system 300.
  • I/O devices 308A-B may be coupled to data processing system 300 directly or indirectly through intervening I/O controllers (not shown).
  • a network adapter 310 is coupled to data processing system 300 to enable data processing system 300 to become coupled to other data processing systems or remote printers or storage devices through communication link 312.
  • Communication link 312 can be a private or public network. Modems, cable modems, and Ethernet cards are just a few of the currently available types of network adapters.

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Abstract

L'invention concerne un dispositif mobile et/ou un système mis en œuvre par ordinateur basé sur un navigateur Web, et un procédé mis en œuvre par ordinateur les utilisant, pour le suivi, le traitement et l'analyse de données de patients sur des patients atteints de pemphigus vulgaire et de maladies associées ou sur des patients atteints de pemphigoïde bulleuse et de maladies associées, et l'établissement et le maintien d'une base de données sur des données de patients relatives à des patients atteints de Pemphigus vulgaire et de maladies apparentées ou sur des patients présentant un pemphigoïde bullleux et des maladies associées, ledit dispositif mobile et/ou ledit système étant conçus pour mettre en œuvre ce qui suit (et ledit procédé comprenant) : la réception de données de patients provenant de patients atteints de pemphigus vulgaire et de maladies associées ou de pemphigoïde bulleuse et de maladies associées par l'intermédiaire d'une entrée utilisateur ; la transmission desdites données de patients à un serveur de gestion à distance, lequel serveur est conçu pour suivre, traiter et analyser les données de patients et maintenir les données de patients dans une base de données ; l'extraction desdites données de patients à partir de ladite base de données et l'affichage desdites données.
PCT/US2024/048008 2023-09-25 2024-09-23 Dispositif, système et procédé de gestion de maladie Pending WO2025072096A1 (fr)

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US202363540270P 2023-09-25 2023-09-25
US63/540,270 2023-09-25

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210027897A1 (en) * 2018-03-26 2021-01-28 Dermala Inc. Skin health tracker
US20220233860A1 (en) * 2019-03-08 2022-07-28 Cala Health, Inc. Wearable peripheral nerve stimulation for the treatment of diseases utilizing rhythmic biological processes

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210027897A1 (en) * 2018-03-26 2021-01-28 Dermala Inc. Skin health tracker
US20220233860A1 (en) * 2019-03-08 2022-07-28 Cala Health, Inc. Wearable peripheral nerve stimulation for the treatment of diseases utilizing rhythmic biological processes

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