KR-20260063850-A - A virtual twin system based on omics data for generating personal ego data

KR20260063850AKR 20260063850 AKR20260063850 AKR 20260063850AKR-20260063850-A

Abstract

The present invention relates to an omics data-based virtual twin system for generating personal self-data, comprising: a data collection module that collects multi-omics data from various data sources (genome information, medical data, social media activity, lifestyle patterns, and location information); a data preprocessing module that refines, standardizes, and encrypts the collected data; an AI analysis module including an omics virtual twin AI analysis engine capable of analyzing the collected data to identify and predict individual characteristics and behavioral patterns; a self-data profiling module that generates a self-data profile reflecting an individual's psychological and physical characteristics based on the analyzed data; a solution provision module that provides customized solutions such as health management programs, suggestions for lifestyle improvement, and product recommendations based on the generated self-data; an IoT integration module that utilizes IoT technology to connect with various smart devices, collects data in real time, and provides feedback; a feedback-based system that continuously learns user feedback and new data to improve the accuracy of the customized solutions; an adaptive algorithm that continuously learns individual characteristics to improve the quality of the customized solutions; and a multi-omics data analysis module, thereby providing the function to efficiently monitor and manage an individual's health status and generating a virtual twin model by simulating an individual's biological data and behavioral patterns.

Inventors

박종화
조수안
전성원

Assignees

주식회사 제로믹스
에이징랩 주식회사
울산과학기술원

Dates

Publication Date: 20260507
Application Date: 20241031

Claims (15)

In an omics data-based virtual twin system for generating personal self data, A data collection module that collects multi-omics data from various data sources (genome information, medical data, social media activity, lifestyle patterns, and location information); A data preprocessing module that refines, standardizes, and encrypts collected data; An AI analysis module including an omics virtual twin AI analysis engine capable of analyzing collected data to identify and predict individual characteristics and behavioral patterns; A self-data profiling module that generates a self-data profile reflecting an individual's psychological and physical characteristics based on analyzed data; A solution providing module that offers customized solutions for health management programs, lifestyle improvement suggestions, and product recommendations based on generated self-data; An IoT integrated module that utilizes IoT technology to connect with various smart devices, collects data in real time, and provides feedback; A feedback-based system that continuously learns from user feedback and new data to improve the accuracy of the above-mentioned customized solution; An adaptive algorithm for continuously learning individual characteristics and thereby improving the quality of the customized solution; and It provides the ability to efficiently monitor and manage an individual's health status, including a multi-omics data analysis module, and A virtual twin system that includes generating a virtual twin model by simulating an individual's biological data and behavioral patterns.
In paragraph 1, The above data collection module is a virtual twin system that collects data in real time through APIs, sensors, and user input.
In paragraph 1, A virtual twin system in which the above-mentioned AI analysis module analyzes collected data using machine learning and deep learning algorithms, performs predictive modeling, and thereby predicts an individual's health status and behavioral patterns.
In paragraph 1, The above self-data profiling module is a virtual twin system that generates a self-data profile including an individual's personality traits, health status, lifestyle habits, etc.
In paragraph 1, The above solution providing module is a virtual twin system that includes the function of monitoring the user's health status and immediately suggesting necessary measures.
In paragraph 1, The above IoT integration module is a virtual twin system that connects with various smart devices, including wearable devices and smart home devices.
In paragraph 1, The above feedback-based system is a virtual twin system that collects user feedback, analyzes it, and reflects it in the improvement of the above customized solution.
In paragraph 1, A virtual twin system in which the above adaptive algorithm learns individual characteristics that change over time and thereby improves the quality of the above customized solution.
In paragraph 1, The above virtual twin system is a virtual twin system that provides customized solutions for preventive health management through data analysis of the user's health status and lifestyle habits.
In paragraph 1, The above multi-omics data analysis module is a virtual twin system that provides personalized health management solutions by utilizing epigenome and RNA information.
In Paragraph 10, The above multi-omics data includes individual genetic information and is a virtual twin system that evaluates the likelihood of health problems by analyzing interactions with environmental factors.
In Paragraph 10, The above RNA data represents gene expression levels and is a virtual twin system that contributes to evaluating an individual's health status and disease risk.
In Paragraph 10, The virtual twin system described above includes the function of continuously monitoring an individual's epigenome and RNA data to detect changes in health status in real time and suggesting customized measures.
In paragraph 1, The virtual twin system described above is generated based on an individual's biological data and behavioral patterns and includes the ability to monitor health status and share necessary information without leakage of personal information.
In Paragraph 14, The above virtual twin is a virtual twin system that includes the ability to securely manage individual health data through an AI analysis engine and share information with medical professionals when necessary.

Description

A virtual twin system based on omics data for generating personal ego data This invention relates to an omics data-based virtual twin system that integrates various psychological, social, clinical, and genetic data of individuals to provide personalized virtual healthcare solutions. The ultimate goal is to provide individuals with a self-health management system necessary to extend their lifespan through individual-led hyper-aging. Hyper-aging is a collective term for traditional anti-aging, which combats aging; normal aging technology, which halts aging; and reverse aging technology, which actively reverses aging. Among the methods for achieving hyper-aging, this method is a type of digital anti-aging approach in which individuals create a virtual AI-based twin of themselves, and a computer simulates that twin to actively suggest health supplements, foods, and lifestyle habits necessary to extend their lifespan. Recently, there has been a steady increase in demand for healthcare systems aimed at living a healthy life while minimizing the occurrence of disease. The primary goal of this is healthy longevity. In particular, there is a growing demand for multi-omics to fundamentally prevent disease by combining data from genomics, transcriptomics, epigenetics, and proteomics. For example, Korean Patent Publication No. 10-2022-0033500 relates to a method and system for personalized molecule-based health management and digital counseling and treatment, and discloses features of evaluating an individual's health status based on correlations between multi-omics measurements (e.g., genome, metabolite, exposome, and proteome) and diseases or health risks, and providing personalized counseling on the health status and actionable measures to improve the health status based thereon. FIG. 1 schematically illustrates the omics data-based virtual twin system of the present invention and an IoT application and customized solution utilizing the same. Figure 2 schematically illustrates a method for implementing an omics data-based virtual twin system. The following description of the present invention with reference to the drawings is not limited to specific embodiments and may be subject to various modifications and have various embodiments. Furthermore, it should be understood that the content described below includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the present invention. In the following description, terms such as "first," "second," etc., are used to describe various components and are not limited in their meaning; they are used solely for the purpose of distinguishing one component from another. Identical reference numbers used throughout this specification indicate identical components. The singular expressions used in the present invention include the plural expressions unless the context clearly indicates otherwise. Furthermore, terms such as “comprising,” “equipping,” or “having,” as used below, should be understood as not precluding the existence or addition of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification. Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application. Furthermore, in the description referring to the attached drawings, identical components are assigned the same reference numeral regardless of drawing symbols, and redundant descriptions thereof are omitted. In describing the present invention, if it is determined that a detailed description of related prior art could unnecessarily obscure the essence of the present invention, such detailed description is omitted. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. The present invention relates to an omics data-based virtual twin system for generating personal self-data, comprising: a data collection module that collects multi-omics data from various data sources (genome information, medical data, social media activity, lifestyle patterns, and location information); a data preprocessing module that refines, standardizes, and encrypts the collected data; an AI analysis module including an omics virtual twin AI analysis engine capable of analyzing the collected data to identify and predict individual characteristics and behavioral patterns; a self-data profiling module that generates a self-data profile reflecting an individual's psychological and physical characteristics based on the analyzed data; a solution provision module that provides cust