Intracellular Event Prediction via Driving Force Information
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Solution Overview
Problem
Current methods lack effective means to acquire definitive intracellular events using germline genetic information during the asymptomatic period, particularly for breast cancer risk assessment, which is crucial for early detection and prevention.
Innovation Solution
A method involving an electronic device that acquires mutant genes, driving force information for gene changes, and determines intracellular deterministic events by processing germline genetic data, enabling comprehensive risk evaluation and prediction of breast cancer-related traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If germline genetic information is used for risk assessment, then sensitivity of detecting breast cancer risk is improved, but current methods lack effective means to acquire definitive intracellular events
Solution Approach 1:
The patent introduces driving force information as an intermediary that bridges germline genetic information and intracellular deterministic events. This intermediary enables the transformation of genetic data into measurable intracellular event predictions, resolving the difficulty of directly detecting intracellular events from genetic information alone
Solution Approach 2:
The patent replaces direct mechanical detection of intracellular events with a computational model that uses driving force information to predict intracellular deterministic events. This substitution allows indirect measurement through mathematical modeling rather than direct physical detection
2Adaptability or versatility
If comprehensive germline genetic information is analyzed, then coverage of risk evaluation for various genetic diseases is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal risk evaluation model that can assess multiple types of genetic diseases (including breast cancer, triple-negative breast cancer, and other sporadic and familial genetic diseases) using the same framework of driving force information and intracellular deterministic events, eliminating the need for separate assessment systems for each disease type
Solution Approach 2:
The patent transforms discrete, high-dimensional germline genetic variation features into continuous, lower-dimensional intracellular deterministic event parameters through driving force information. This parameter transformation simplifies the data structure while maintaining comprehensive disease coverage capability
3Quantity of substance
If discrete germline genetic variation features are processed, then data dimensionality is reduced, but conversion to continuous space becomes complex
Solution Approach 1:
The patent applies parameter changes by transforming discrete germline genetic variation features into continuous intracellular deterministic event parameters through the driving force information framework. This conversion reduces data dimensionality while maintaining biological meaning through the mathematical model
Data Source
AI summary
The present application discloses a method for acquiring intracellular deterministic event, an electronic device and a storage medium, the method includes: acquiring several mutant genes of a detected object; acquiring driving force information of each of the several mutant genes for changes of each gene in a predetermined genome; acquiring driving force information of the several mutant genes for changes of each gene in the predetermined genome according to the acquiring driving force information of each of the several mutant genes for changes of each gene in the predetermined genome; and determining at least onepredetermined type of intracellular deterministic event information of the detected object according to the driving force information of the several mutant genes for changes of each gene in the predetermined genome.