Information Processing for Genetic Meta-Analysis Automation

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Solution Overview

Problem

Conducting meta-analyses in genetic information requires advanced expertise, making it challenging for non-experts and time-consuming.

Innovation Solution

An information processing apparatus and method that automates the meta-analysis process by analyzing genetic data, generating prompts for language models to interpret results, and providing user-friendly output.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If specialized information processing apparatuses and methods for meta-analysis are used, then analysis reliability is improved, but device complexity and ease of operation deteriorate due to requiring advanced expertise in genetic information, biological knowledge, and statistical knowledge

Engineering Contradiction:

Improveanalysis reliabilityVSAvoidease of operation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces an AI assistant as an intermediary between the user and the complex meta-analysis system. The AI assistant automatically performs dataset searching, selection, and analysis, translating complex genetic and statistical operations into simple user interactions. This mediator handles the technical complexity while providing user-friendly access to reliable meta-analysis results

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by having the AI assistant autonomously complete the meta-analysis process without requiring user expertise. The assistant automatically searches databases, selects appropriate datasets, executes analyses, and interprets results, allowing users to obtain reliable analyses simply by stating their research goals

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual meta-analysis procedures are performed, then analysis precision is maintained, but loss of time increases due to requiring significant effort and time for dataset searching, selection, and interpretation

Engineering Contradiction:

Improveanalysis precisionVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical processes with automated AI systems. Instead of researchers manually searching databases, selecting datasets, and performing statistical analyses, the AI assistant executes these operations automatically using machine learning models and automated algorithms, maintaining analysis precision while dramatically reducing time consumption

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The AI assistant performs preliminary actions by pre-searching and pre-selecting appropriate datasets before the user needs analysis. The system proactively identifies relevant datasets and prepares analysis configurations in advance, eliminating the time-consuming manual search and selection processes while ensuring precise analysis results

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250291823A1Information processing apparatus, information processing method, and non-transitory computer readable medium

Publication Date: 2025.09.18 KK TOSHIBA

AI summary

According to one embodiment, an information processing apparatus comprising processing circuitry configured to: analyze data regarding genetic information according to a purpose of a data analysis and obtain analysis result data; and generate a prompt for inputting into a language model, the prompt instructing to interpret the analysis result data based on gene-related information related to the analysis result data and the purpose of the data analysis and obtain an interpretation result of the analysis result data based on the prompt and the language model.