WO2017042831A2 - Système et procédé de mesure de la productivité et la longévité d'êtres humains basés sur l'analyse de leurs gènes dans un contexte biologique et fonctionnel - Google Patents

Système et procédé de mesure de la productivité et la longévité d'êtres humains basés sur l'analyse de leurs gènes dans un contexte biologique et fonctionnel Download PDF

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WO2017042831A2
WO2017042831A2 PCT/IN2016/050296 IN2016050296W WO2017042831A2 WO 2017042831 A2 WO2017042831 A2 WO 2017042831A2 IN 2016050296 W IN2016050296 W IN 2016050296W WO 2017042831 A2 WO2017042831 A2 WO 2017042831A2
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human
biomachine
productivity
longevity
data
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WO2017042831A3 (fr
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Anjum WASEEMA
Shveta GUPTA
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Isense Solution Private Ltd
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Isense Solution Private Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B99/00—Subject matter not provided for in other groups of this subclass

Definitions

  • the present invention generally relates to Life Sciences and Distributed Digital Systems to assist human productivity and longevity in future. More particularly discloses a BioMachine, a gene-driven distributed cognitive system and method of providing reasonably accurate metabolic picture and measure human productivity and longevity of an individual from his/her genes when placed in a most rationalized biological and functional context. BioMachine is aimed to solve present day human crisis made up of ambitions, failures, anxiety, depression and social exclusion. This will happen by making everyone perform to their biological optimum through a personalized productivity threshold. When individuals will be guided by gene-driven distributed cognitive system to a nearest achievable productivity indicator, they shall be able to live peaceful and satisfying life as a sustainable career culmination.
  • GDP Gross Domestic Product
  • MFP multi factor productivity
  • TFP total factor productivity
  • BioMachine a gene-driven distributed cognitive system providing reasonably accurate metabolic picture and measure human productivity and longevity of an individual from his/her genes when placed in a most rationalized biological and functional context.
  • BioMachine is a personalized, distributed computing paradigm layered with gene/protein function data tailored to precisely and accurately capture an individuals' biological identity and guesstimate his/her functional acumen best judged ever in the context of human productivity and sustainable longevity.
  • the proposed BioMachine builds on distributed /edge computing and Grid computing circuitry to combine knowledge into bio wisdom to be published in a genome wall and then, combine bio wisdom with inputs from continuous and distributed machine learning on digital usage to personalize experience and insights for the user.
  • the BioMachine is a method to attempt this in an efficient, accurate and cost-effective way.
  • the main objective of the present invention is to provide a system and method for measuring productivity and longevity of human beings based on analysis of their genes in biological and functional context.
  • Another object of the present invention is to provide a system and method that facilitates a service provider or an employer to assess the capability of an individual in a more scientific way.
  • Yet another objective of the invention is to develop a biological, computational and numeric framework (a BioMachine) to assign a metric of productivity and longevity to each human.
  • a BioMachine a biological, computational and numeric framework
  • One more objective of the invention is to provide a system wherein a unique holistic profile of a given individual in the form of his/her genes, proteins, pathways and biomarkers is integrated in to a computer chip, a circuit, or a program that can be readable to a number of stake holders or service providers such as employers, security providers, insurance companies, matrimonial services, medical doctors, immigration officials and courts etc.
  • Another objective of the invention is to develop a personal assistant program in future that incorporates the biological identity chip as well as productivity and longevity metrics of an individual to generate/broadcast specific advices as to food, medicines, job opportunities, investment opportunities, travel advice, weather information, and reminders on health check-ups etc.
  • BioMachine is a gene-driven distributed cognitive system having deep learning and understanding of inner biological circuitry of a human incorporating human genome, metabolome and microbiome data integrated with available medical history, food habits, ancestry/pedigree, geographical and climatic parameters (rainfall, humidity, temperature, flora and fauna) as well as economic indicators.
  • the BioMachine will aid human living in personal, professional and social settings.
  • the computing device of the BioMachine is transformed using a personalized client software having gene-related intelligence dynamically in sync with cloud service for personal usage data and is layered with gene/protein function data tailored to precisely and accurately an individuals' biological identity to guesstimate his/her functional acumen best judged ever in the context of human productivity and sustainable longevityby and provide to the end user based on the input data.
  • the proposed BioMachine builds on distributed /edge computing and Grid computing circuitry to combine knowledge into bio wisdom to be published in a genome wall and then, combine bio wisdom with inputs from continuous and distributed machine learning on digital usage to personalize experience and insights for the user.
  • the customized client information device used therein is selected from personal computer, smart phone or smart watch.
  • the method measuring involves one or more of the following steps:- a) Analysis of the complexity of functional relationships within the human genome making use of advanced Edge and Grid computing approach;
  • a smart agent package which is the representation of an array consisting of sub routine packages together, along with a data description consisting of active agents which are associated with biological pathways and a router agent which helps in inter-agent message passing unique identifiers generated by pathways, that streamlines the information flow within its host as well as initiate external interactions with other agents;
  • Metabolome candidate's gene polymorphisms; Disease susceptibility coordinates;
  • FIG. 1 BioMachine - a gene-driven distributed cognitive system.
  • Figure 2 Scheme to explain how polymorphisms of the candidate genes associated with circadian patterns in humans could impact sleep related phenotypes
  • Figure 3 Method of measuring productivity and longevity of human beings by Bio- machine- Stage-1
  • Figure 4 Method of measuring productivity and longevity of human beings by Bio- machine- Stage-2.
  • Figure 5 Flow diagram depicting factors being considered by the Bio-machine to arrive at 'Human Productivity and Longevity Factor'.
  • the present invention provides a state of the art system and method for measuring productivity and longevity of human beings based on analysis of their genes in biological and functional context.
  • BioMachine is aimed to solve present day human crisis made up of ambitions, failures, anxiety, depression and social exclusion. This will happen by making everyone perform to their biological optimum through a personalized productivity threshold. When individuals will be guided by their computing system to a nearest achievable productivity indicator, they shall be able to live peaceful and satisfying life as a sustainable career culmination.
  • BioMachine is a personalized, a gene driven distributed cognitive system layered with gene/protein function data tailored to precisely and accurately capture an individuals' biological identity and guesstimate his/her functional acumen best judged ever in the context of human productivity and sustainable longevity.
  • the Biomachine will transform computing devices using a personalized client software having gene-related intelligence dynamically in sync with cloud service for personal usage data and layered with gene/protein function data tailored to precisely and accurately an individuals' biological identity and guesstimate his/her functional acumen best judged ever in the context of human productivity and sustainable longevity and provide to the end user based on the input data.
  • the personal data includes (inherent capabilities) such as those related to identity, demography, health records, biometrical indices and socioeconomic indicators as well as data related to prospective life experiences (reactive tendencies) in order to make it nearly personalized to a client.
  • This system can be further augmented and tailored to build a BioMachine comprised of a customized client device and a personalized cloud dynamically synced with personal data at inclusion (inherent capabilities) such as those related to identity, demography, health records, biometrical indices and socioeconomic indicators as well as data related to prospective life experiences (reactive tendencies) in order to make it nearly personalized to a client.
  • inclusion such as those related to identity, demography, health records, biometrical indices and socioeconomic indicators as well as data related to prospective life experiences (reactive tendencies) in order to make it nearly personalized to a client.
  • the proposed human productivity and longevity factor is a variable number that is derived by our BioMachine in respect of every single adult human being.
  • the profile so obtained could be able to provide an accurate, robust and numerically validated leadership score based on positive energy and healthy pathways, tangible career achievements, creative competencies and reactive tendencies of an individual.
  • This information is most likely to reveal a 'human operating system', an unique 360 degree profile which guides behavior in day to day life and in the leadership domain, and impacts decision making.
  • Said 'human operating system' should in future be the driver of all productivity related applications and personal assistants that can match or mimic the decision making pattern and tendencies of their owners/masters.
  • Each human genome will be allocated a smart agent package that can streamline the information flow within its host as well as initiate external interactions with other agents.
  • the smart agent package is the representation of an array consisting of sub routine packages together, along with a data description of the data included with them - it consists of active agents which are associated with biological pathways and a router agent which helps in inter-agent message passing unique identifiers generated by pathways.
  • the responsibilities attached to each of the agents can be mapped to their respective pathway behavior and router agent provides filters so that each of the active agents can contribute to bio wisdom.
  • the router agent is also responsible to filter and sort information coming from all active agents based on the basis of existing understanding of pathway behaviors.
  • These self-learning agents form the edge computing circuitry to mimic a chain of biological pathways in the human body and represent the first stage of BioMachine.
  • Each of this smart agent packages from various human genomes then compile bio-wisdom f ⁇ x) into a collected bin called genome wall. This will reduce mammoth biological complexity to merely a few digits.
  • second stage of BioMachine is how this bio-wisdom f(x) feeds into a machine learning model built on human functional context. This machine learning model will learn from human living incl. location of living matched with medical conditions in those locations, type of work that human did in past and skills/learning levels a human possessed at those stages of life.
  • BioMachine will further include Pathways data; microbiome; Metabolome; candidate's gene polymorphisms; Disease susceptibility coordinates; Allergy profile; Healthy clinical data; Demographic and family history; Educational and work data; Scholarly and creativity data; Living location data; Biometric/ face scan data; Travel / climate data; Wealth and investment data; Web usage; Social media profile/ Community feedback.
  • the measure of Human Productivity and Longevity could then be used to predict biological wellness/normalcy and longevity of an individual in future based on robust gene-gene/protein-protein interactions.
  • An example here describes the essence of BioMachine. Based on sleep-wake cycle (circadian rhythm) of an individual, that is associated with functional polymorphisms and genotypes of candidate genes (Piggins, 2000; Pedrazzoli et al., 2010), CLOCK, CRY1 , PER1 , PER2, PER3 and Dec2 (He Y, et al., 2009), sleep requirement of a person can be estimated or predicted by the BioMachine in order to decide if computing/browsing sessions could be logged out (auto logout) when it is time for the individual to take rest. This will leave the operator with no option but to retire for a normal sleep cycle.
  • this function can be based on the bio-capture of a person's reactive tendencies such as work load, hours spent online, calendar events, travel itineraries, day-light length sessions and an eventual estimate of fatigue build up.
  • the sleep duration of an individual may depend upon polymorphism or transcript level change of circadian genes, their daily working habits and death. • SNP analysis method would be required to carry out a GWAS (Genome-wide association study) (McCarthy and Hirschhorn, 2008) concerning a group or population wherein metadata are important; the metadata of an individual i.e. the daily activity time table etc. would be significant in order to incorporate in association with gene polymorphisms for the BioMachine to predict normal or abnormal sleep cycle
  • Circadian clock gene polymorphisms also modulate breast cancer risk as night shift work has been linked to an increased risk of breast cancer suggestive of a role of circadian disruption (Truong et al., 2014; Grundy et al., 2013; Monsees et al., 2012; Rabstein et al., 2014)
  • Clock gene polymorphisms have also been linked to sleep disorders, depressive symptoms, male infertility, Alzheimers' disease, alcohol abuse and suicidal behavior (Maglione et al., 2015; Hida et al., 2014; Hua et al., 2014; Hodzik et al., 2013; Chen et al., 2013; Partonen, 2015; Galfalvy et al., 2015).
  • ⁇ Clock genes have also been linked to energy metabolism and obesity (Sancar et al., 2014 and Valladares et al., 2015).
  • angiotensinogen M235T In case of hypertensive persons, based on the insertion/deletion of angiotensin- converting enzyme, angiotensinogen M235T, angiotensin II type 1 receptor A1 166C, aldosterone synthase C344T, and mineralocorticoid receptor A4582C etc (Freitas et al., 2007).
  • the BioMachine would be able to determine the emotional stability of individuals while also incorporating blood pressure and pulse (gauged through a hand band) data. Based on emotional profiles, certain sensational news items, market trends and pictures etc. shall be automatically masked by the BioMachine. Certain gene polymorphisms such as SLC6A4 SNP rs16965628 and 5-HTTLPR etc. are associated with cognitive control of emotions in certain individuals (Morey et al., 201 1 ). The BioMachine would be able to be cautious of any mention/ discussion /chat /communication of past
  • oxytocin receptor polymorphism ⁇ OXTR oxytocin receptor polymorphism ⁇ OXTR rs53576, a gene previously related to socioemotional sensitivity, in conjunction with cultural norms is important in understanding behavioral outputs in relation to cultural and traditional inputs for an individual to estimate empathy (Kim et al., 2010). For example, emotional suppression is normative in East Asian cultures but not in American culture. BioMachine would be able to evolve real time advisories related to cultural change for such individuals who would carry the above polymorphisms.
  • Gene functions related to behavioral, neuropsychological, motor and cardiovascular indicators estimated for given communities are used to train BioMachine via intensive machine learning, game theoretical and probability based algorithms to portray nearly accurate 'virtual personalities' that can be maneuvered by a personalized computer interface while also incorporating biometric, demographic and online usage data from a personalized cloud.
  • GWAS data broadly related to cognition, intelligence, dementia, fatigue, systemic disorders, etc., for example, can play crucial roles related to guesstimating productivity indicators.
  • BioMachine can be made in to a 'counselor' watchful of susceptible individuals prone to stress and fatigue, anxiety, obsessive-compulsive disorder, suicidal tendencies and or alienation/exclusion etc. and those who could resort to extreme or fatal decision making (Galfaivy et al., 2015).
  • the BioMachine shall be able to keep a tab on the euphoria of highly productive individuals through a human value based system of 'virtual preaching'. A balance of these two predictive functions will be the real essence of sustainable human wellbeing over a longer period (productive longevity).
  • BioMachine is a personalized system functioning based on, distributed computing paradigm layered with gene/protein function data tailored to precisely and accurately capture an individuals' biological identity and guesstimate his/her functional acumen best judged ever in the context of human productivity and sustainable longevity. Prediction of false positive networks would be avoided. Novel and hitherto undefined pathways should be the key to understand new biological functions that will be enriched only in exceptional individuals. Diversity of pathways predicted from different human genomes would signify personalized and tailor made wellness/ intelligence/ nutrition/ allergy/ disease advice.
  • the BioMachine will further integrate digital data entailing medical history, food habits, ancestry and pedigree, geographical and climatic parameters (rainfall, humidity, temperature, flora and fauna) as well as economic indicators from digital footprint of an individual in the global web, in order to predict integrated wellness profile firmly enshrined in genome derived biological state of art.
  • the BioMachine has application in following functional areas: a) Personalized PC - complete personalized tasks on behalf of user

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Abstract

L'invention concerne un système cognitif distribué et piloté par les gènes BioMachine permettant d'obtenir une image métabolique et une mesure de la productivité humaine et de la longévité d'un individu raisonnablement précises à partir de ses gènes lorsqu'il est placé dans un contexte biologique et fonctionnel le plus rationalisé possible. BioMachine est transformé à l'aide d'un logiciel du client personnalisé ayant une intelligence liée aux gènes en synchronisation dynamique avec un service de nuage pour données à usage personnel et en couches avec des données de fonction des gènes/protéines adaptées précisément et adéquatement à l'identité biologique d'un individu, afin d'estimer ses aptitudes fonctionnelle avec le meilleur discernement possible dans le contexte de la productivité humaine et de la longévité durable et les fournir à l'utilisateur final sur la base des données entrées. Le système proposé est construit sur des calculs répartis/en périphérie de réseau et des circuits informatiques GRID afin de combiner les connaissances de savoir biologique à publier sur un mur de génome, puis combiner le savoir biologique avec des entrées provenant d'un apprentissage machine continu et réparti sur l'usage numérique pour personnaliser l'expérience et les connaissances de l'utilisateur.
PCT/IN2016/050296 2015-09-07 2016-09-05 Système et procédé de mesure de la productivité et la longévité d'êtres humains basés sur l'analyse de leurs gènes dans un contexte biologique et fonctionnel Ceased WO2017042831A2 (fr)

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CN107332776A (zh) * 2017-06-19 2017-11-07 深圳市盛路物联通讯技术有限公司 一种边缘转发节点的路由信息表更新方法及边缘转发节点
US10395759B2 (en) 2015-05-18 2019-08-27 Regeneron Pharmaceuticals, Inc. Methods and systems for copy number variant detection
US10728443B1 (en) 2019-03-27 2020-07-28 On Time Staffing Inc. Automatic camera angle switching to create combined audiovisual file
US10963841B2 (en) 2019-03-27 2021-03-30 On Time Staffing Inc. Employment candidate empathy scoring system
US11017902B2 (en) 2019-10-25 2021-05-25 Wise IOT Solutions System and method for processing human related data including physiological signals to make context aware decisions with distributed machine learning at edge and cloud
US11023735B1 (en) 2020-04-02 2021-06-01 On Time Staffing, Inc. Automatic versioning of video presentations
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US11127232B2 (en) 2019-11-26 2021-09-21 On Time Staffing Inc. Multi-camera, multi-sensor panel data extraction system and method
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JP2022084563A (ja) * 2020-11-26 2022-06-07 エヌジーンバイオ・カンパニー・リミテッド 使用者多重特徴情報を利用した個人オーダーメイド型コンテンツ提供方法および分析装置
US11423071B1 (en) 2021-08-31 2022-08-23 On Time Staffing, Inc. Candidate data ranking method using previously selected candidate data
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US11918610B2 (en) 2018-06-29 2024-03-05 Viktor Veniaminovich Tets Methods for diagnosis and treatment of type 1 diabetes
US12071669B2 (en) 2016-02-12 2024-08-27 Regeneron Pharmaceuticals, Inc. Methods and systems for detection of abnormal karyotypes
US12274720B2 (en) 2017-05-24 2025-04-15 Viktor Veniaminovich Tets Methods for treating and preventing diseases
US12535491B2 (en) 2018-04-30 2026-01-27 Viktor Veniaminovich Tets Vaccine comprising protein-targeted (PT) extracellular DNA isolated from bacterial matrix

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US11568957B2 (en) 2015-05-18 2023-01-31 Regeneron Pharmaceuticals Inc. Methods and systems for copy number variant detection
US12071669B2 (en) 2016-02-12 2024-08-27 Regeneron Pharmaceuticals, Inc. Methods and systems for detection of abnormal karyotypes
US12274720B2 (en) 2017-05-24 2025-04-15 Viktor Veniaminovich Tets Methods for treating and preventing diseases
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US12535491B2 (en) 2018-04-30 2026-01-27 Viktor Veniaminovich Tets Vaccine comprising protein-targeted (PT) extracellular DNA isolated from bacterial matrix
US11918610B2 (en) 2018-06-29 2024-03-05 Viktor Veniaminovich Tets Methods for diagnosis and treatment of type 1 diabetes
EP3818173A4 (fr) * 2018-07-03 2022-04-06 Tets, Viktor, Veniaminovich Procédé d'évaluation et d'inhibition du vieillissement et moyens de détermination de l'âge biologique
US12545965B2 (en) 2018-07-03 2026-02-10 Viktor Veniaminovich Tets Method for assessing and inhibiting aging and means of determining biological age
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US10963841B2 (en) 2019-03-27 2021-03-30 On Time Staffing Inc. Employment candidate empathy scoring system
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US10728443B1 (en) 2019-03-27 2020-07-28 On Time Staffing Inc. Automatic camera angle switching to create combined audiovisual file
US11017902B2 (en) 2019-10-25 2021-05-25 Wise IOT Solutions System and method for processing human related data including physiological signals to make context aware decisions with distributed machine learning at edge and cloud
US11217349B2 (en) 2019-10-25 2022-01-04 Wise IOT Solutions System and method for processing human related data including physiological signals to make context aware decisions with distributed machine learning at edge and cloud
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US11720859B2 (en) 2020-09-18 2023-08-08 On Time Staffing Inc. Systems and methods for evaluating actions over a computer network and establishing live network connections
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US11727040B2 (en) 2021-08-06 2023-08-15 On Time Staffing, Inc. Monitoring third-party forum contributions to improve searching through time-to-live data assignments
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