Laboratory information management system combined with artificial intelligence AI interpretation function

Abstract

The invention belongs to the field of artificial intelligence, and particularly relates to a laboratory information management system combined with an artificial intelligence AI interpretation function, which comprises a mass spectrum data processing module, an AI model interpretation module connected with the mass spectrum data processing module, and an LIMS module connected with the AI model interpretation module. By using the system, the data processing efficiency can be greatly improved; automatic data acquisition and processing are realized; and the manual operation time is greatly shortened. Manual errors are reduced; and an AI interpretation and analysis function is realized, so that the human error rate is reduced. The AI model interpretation module can provide professional analysis and suggestions according to the data to assist in experiment decision making.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence, and in particular relates to a laboratory information management system combined with artificial intelligence (AI) interpretation function. Background Art

[0002] At present, laboratory data management and interpretation mainly rely on manual operation, which has significant shortcomings when processing large amounts of complex data. Manual operation is not only inefficient, but also prone to various errors, such as data entry errors and analysis biases. These problems are particularly prominent in the context of the rapid increase in the amount and complexity of experimental data. Therefore, laboratories need a system that can automatically and intelligently process experimental data to improve data processing efficiency and accuracy and reduce the occurrence of human errors. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the related art. To this end, the present invention provides a laboratory information management system combined with artificial intelligence AI interpretation function.

[0004] The present invention provides a laboratory information management system combined with an artificial intelligence (AI) interpretation function, comprising a mass spectrometry data processing module, an AI model interpretation module connected to the mass spectrometry data processing module, and a LIMS module connected to the AI ​​model interpretation module.

[0005] Furthermore, the mass spectrometry data processing module is based on the Galaxy platform.

[0006] Furthermore, the AI ​​model interpretation module is used to analyze experimental data and provide interpretation of experimental report results.

[0007] Furthermore, the LIMS module is used to manage laboratory resources, including experimental materials, equipment, personnel scheduling, and storage and tracking of experimental data.

[0008] Furthermore, the mass spectrometry data processing module based on the Galaxy platform completes data preprocessing including denoising, standardization, peak detection and quantitative analysis.

[0009] Furthermore, the AI ​​model interpretation module includes the AIBox system and the Baymax AI health coach of the AI ​​interpretation model.

[0010] Furthermore, the AIBox system outputs risk results through a risk assessment model or outputs metabolite / metabolic universal risk factors through a pathway model.

[0011] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: Improve data processing efficiency: Automate data collection and processing, and significantly reduce manual operation time.

[0012] Reduce human errors: AI interpretation and analysis functions reduce the human error rate.

[0013] Provide intelligent analysis suggestions: The AI ​​model interpretation module can provide professional analysis and suggestions based on the data to assist experimental decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 It is a system architecture diagram provided by the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0017] Combine the following Figure 1 The present invention describes a laboratory information management system combined with an artificial intelligence (AI) interpretation function, including a mass spectrometry data processing module, an AI model interpretation module connected to the mass spectrometry data processing module, and a LIMS module connected to the AI ​​model interpretation module.

[0018] The AI ​​model interpretation module is used to perform intelligent analysis of experimental data and provide accurate interpretation of experimental report results. It includes the AIBox system and the Baymax AI health coach of the AI ​​interpretation model.

[0019] LIMS module is used to manage laboratory resources, including experimental materials, equipment, personnel scheduling, and storage and tracking of experimental data.

[0020] The laboratory introduced a mass spectrometry data processing process based on the Galaxy platform. This systematic and automated process can perform multi-step preprocessing on the raw data generated by the mass spectrometry to ensure the accuracy and reliability of the data. Specifically, the process includes key steps such as denoising, standardization, peak detection and quantitative analysis. These steps can effectively clean and optimize the data, providing high-quality basic data for subsequent in-depth analysis. The preprocessed data will be passed to the AIBox system for further in-depth analysis. The AIBox system integrates a variety of advanced models, such as risk assessment models, metabolic pathway models, and metabolite / metabolic pathway risk factor analysis models. These models can comprehensively assess individual health risks, identify abnormal changes in metabolic pathways, and generate personalized health risk assessment reports based on the individual's specific physiological and metabolic status. This comprehensive assessment not only helps to reveal potential health problems, but also provides targeted health advice. In order to further improve the accuracy of the analysis, the Baymax AI health coach of the AI ​​interpretation model was introduced. Baymax AI health coach uses deep learning technology to conduct in-depth analysis of metabolite data and risk factors, and provides accurate and easy-to-understand health management advice. In this way, users can not only clearly understand their health status, but also obtain practical health management plans. Ultimately, all analysis results will be integrated and managed through the LIMS module. The LIMS module will organize these results and generate a detailed big health AI interpretation report. This report not only elaborates on the risk analysis of metabolic pathways, but also provides personalized health recommendations based on AI, providing a scientific basis for personalized health management and disease prevention.

[0021] The use of the system can greatly improve data processing efficiency: automated data collection and processing, significantly reducing manual operation time. Reduce human errors: AI interpretation and analysis functions, reducing human error rates. Provide intelligent analysis suggestions: The AI ​​model interpretation module can provide professional analysis and suggestions based on the data to assist experimental decision-making.

[0022] Embodiment 1: This embodiment provides a laboratory information management system that combines AI interpretation functions, and its system architecture is as follows: Figure 1 As shown in the figure. The data acquisition module connects multiple experimental devices and collects data through a unified interface. The data processing module formats and preprocesses the collected data. The AI ​​model interpretation module analyzes the data based on the machine learning algorithm and generates an analysis report. The user interface module displays the analysis results, and users can interact and perform further operations through the interface.

[0023] Embodiment 2: In this embodiment, the AI ​​model interpretation module is further optimized, and can customize the analysis model according to user needs and provide personalized analysis reports. The user interface module adds a real-time monitoring function, and users can view experimental data and analysis results in real time.

[0024] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A laboratory information management system combined with artificial intelligence AI interpretation function, characterized in that: It includes a mass spectrometry data processing module, an AI model interpretation module connected to the mass spectrometry data processing module, and a LIMS module connected to the AI ​​model interpretation module.

2. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 1, characterized in that: The mass spectrometry data processing module is based on the Galaxy platform.

3. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 1, characterized in that: The AI ​​model interpretation module is used to analyze experimental data and provide interpretation of experimental report results.

4. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 1, characterized in that: The LIMS module is used to manage laboratory resources, including experimental materials, equipment, personnel scheduling, and storage and tracking of experimental data.

5. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 2, characterized in that: The mass spectrometry data processing module based on the Galaxy platform completes data preprocessing including denoising, standardization, peak detection and quantitative analysis.

6. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 3, characterized in that: The AI ​​model interpretation module includes the AIBox system and the Baymax AI health coach of the AI ​​interpretation model.

7. A laboratory information management system combined with artificial intelligence (AI) interpretation function according to claim 6, characterized in that: The AIBox system outputs risk results through a risk assessment model or outputs metabolite / metabolic universal risk factors through a pathway model.

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