WO2023201285A3 - Computer-implemented systems and methods for health data analysis and management - Google Patents

Computer-implemented systems and methods for health data analysis and management Download PDF

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Publication number
WO2023201285A3
WO2023201285A3 PCT/US2023/065704 US2023065704W WO2023201285A3 WO 2023201285 A3 WO2023201285 A3 WO 2023201285A3 US 2023065704 W US2023065704 W US 2023065704W WO 2023201285 A3 WO2023201285 A3 WO 2023201285A3
Authority
WO
WIPO (PCT)
Prior art keywords
computer
attributes
individual
management
methods
Prior art date
Application number
PCT/US2023/065704
Other languages
French (fr)
Other versions
WO2023201285A2 (en
Inventor
Joshua Anthony
Barbara WINTERS
Suzan Wopereis
Tim VANDENBROEK
Original Assignee
Juvyou (Europe) Limited
Juvenescence Us Corp.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Juvyou (Europe) Limited, Juvenescence Us Corp. filed Critical Juvyou (Europe) Limited
Publication of WO2023201285A2 publication Critical patent/WO2023201285A2/en
Publication of WO2023201285A3 publication Critical patent/WO2023201285A3/en

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
    • 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

Abstract

Computer-implemented systems, methods, and computer-readable media are disclosed for health data analysis and management. In accordance with one aspect, a computer-implemented system is provided that includes at least one processor that is adapted to calculate a biological age for an individual. The at least one processor is adapted to receive a plurality of attributes associated with a plurality of individuals, receive a first set of attributes associated with a first individual, and apply at least one predictive model to the plurality of attributes and the first set of attributes to estimate a second set of attributes associated with the first individual. The at least one processor is also adapted to calculate a biological age for the first individual using the first set of attributes and the second set of attributes, and to provide recommendations to adjust the biological age of the first individual. Other aspect, feature, and embodiments are disclosed herein.
PCT/US2023/065704 2022-04-14 2023-04-13 Computer-implemented systems and methods for health data analysis and management WO2023201285A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263363017P 2022-04-14 2022-04-14
US63/363,017 2022-04-14

Publications (2)

Publication Number Publication Date
WO2023201285A2 WO2023201285A2 (en) 2023-10-19
WO2023201285A3 true WO2023201285A3 (en) 2023-11-23

Family

ID=88330455

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/065704 WO2023201285A2 (en) 2022-04-14 2023-04-13 Computer-implemented systems and methods for health data analysis and management

Country Status (3)

Country Link
FR (1) FR3134646A1 (en)
NL (1) NL2034571A (en)
WO (1) WO2023201285A2 (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050080462A1 (en) * 2003-10-06 2005-04-14 Transneuronix, Inc. Method for screening and treating patients at risk of medical disorders
US20050170528A1 (en) * 2002-10-24 2005-08-04 Mike West Binary prediction tree modeling with many predictors and its uses in clinical and genomic applications
US20050228239A1 (en) * 2004-04-12 2005-10-13 Frank Shallenberger Method for analyzing the biological age of a subject
US20110119212A1 (en) * 2008-02-20 2011-05-19 Hubert De Bruin Expert system for determining patient treatment response
US20120290327A1 (en) * 2009-03-19 2012-11-15 Phenotypeit, Inc. Medical health information system for health assessment, weight management and meal planning
US20130095459A1 (en) * 2006-05-12 2013-04-18 Bao Tran Health monitoring system
US20170140114A1 (en) * 2015-11-13 2017-05-18 Cerner Innovation, Inc. Machine learning clinical decision support system for risk categorization
CN112582067A (en) * 2020-12-21 2021-03-30 安徽华米智能科技有限公司 Age estimation model training and age estimation method and device based on big data
US20210391081A1 (en) * 2020-06-03 2021-12-16 Informed Data Systems Inc. D/B/A One Drop Predictive guidance systems for personalized health and self-care, and associated methods

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050170528A1 (en) * 2002-10-24 2005-08-04 Mike West Binary prediction tree modeling with many predictors and its uses in clinical and genomic applications
US20050080462A1 (en) * 2003-10-06 2005-04-14 Transneuronix, Inc. Method for screening and treating patients at risk of medical disorders
US20050228239A1 (en) * 2004-04-12 2005-10-13 Frank Shallenberger Method for analyzing the biological age of a subject
US20130095459A1 (en) * 2006-05-12 2013-04-18 Bao Tran Health monitoring system
US20110119212A1 (en) * 2008-02-20 2011-05-19 Hubert De Bruin Expert system for determining patient treatment response
US20120290327A1 (en) * 2009-03-19 2012-11-15 Phenotypeit, Inc. Medical health information system for health assessment, weight management and meal planning
US20170140114A1 (en) * 2015-11-13 2017-05-18 Cerner Innovation, Inc. Machine learning clinical decision support system for risk categorization
US20210391081A1 (en) * 2020-06-03 2021-12-16 Informed Data Systems Inc. D/B/A One Drop Predictive guidance systems for personalized health and self-care, and associated methods
CN112582067A (en) * 2020-12-21 2021-03-30 安徽华米智能科技有限公司 Age estimation model training and age estimation method and device based on big data

Also Published As

Publication number Publication date
NL2034571A (en) 2023-11-06
WO2023201285A2 (en) 2023-10-19
FR3134646A1 (en) 2023-10-20

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