Cell Culture Management System Using Simulation for Quality Criteria
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Solution Overview
Problem
Existing regenerative medicine technologies face challenges in standardizing cell quality due to manual work variations and cellular attribute disturbances, making it difficult to establish a reliable manufacturing parameter classification criterion for quality assurance.
Innovation Solution
A management system and method that utilizes a simulation-based approach to evaluate the influence of parameters on cell culture quality, considering cellular fluctuations, and revises the manufacturing parameter classification criterion based on experiment data to stabilize cell-processed product quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual work is used in cell processing steps, then operational flexibility is maintained, but quality standardization becomes difficult due to variations in work contents
Solution Approach 1:
The patent creates a virtual copy of the cell culture process through simulation models. Instead of relying solely on manual operations, the system replicates the entire culture process computationally, allowing repeated experiments with identical conditions. This virtual copying enables precise control and standardization of quality attributes while maintaining the flexibility to model different manual work scenarios.
Solution Approach 2:
The patent replaces physical manual operations with a computational simulation system. The simulation model substitutes for repeated physical experiments and manual processing variations, providing a deterministic way to evaluate quality attributes. This substitution eliminates the variability inherent in manual work while preserving the ability to explore different process conditions.
2Reliability
If experiments are repeated multiple times to obtain reliable data, then manufacturing parameter classification criterion reliability improves, but cost and time increase
Solution Approach 1:
The simulation model creates virtual copies of the cell culture process that can be executed repeatedly without physical constraints. These virtual experiments provide reliable data for determining manufacturing parameter classification criteria without requiring repeated physical experiments, thereby reducing time and cost while maintaining or improving data reliability.
Solution Approach 2:
The patent substitutes physical experimental repetitions with computational simulations. The simulation system can perform numerous experiments simultaneously and repeatedly under identical or varied conditions, providing statistically reliable data much faster and more economically than physical experimentation.
3Reliability
If experiments are performed to determine manufacturing parameter classification criterion, then quality assurance capability improves, but experiment reproducibility deteriorates due to cellular attribute disturbances
Solution Approach 1:
The simulation model creates a virtual replica of the cell culture process that can be executed multiple times with identical results, overcoming the reproducibility issues of physical experiments. The simulation maintains consistent cellular attributes and process conditions across repeated runs, enabling reliable determination of manufacturing parameter classification criteria for quality assurance.
Solution Approach 2:
The patent replaces physical experiments with computational simulations that eliminate biological variability. The simulation system maintains stable cellular attributes and process conditions through precise computational control, ensuring experiment reproducibility while providing the necessary data for quality assurance capability.
4Quantity of substance
If simulation is used to evaluate manufacturing parameters, then experimental cost is reduced, but measurement precision of cellular fluctuations may be insufficient
Solution Approach 1:
The simulation model incorporates detailed parameter representations of cellular attributes and process conditions. By adjusting and refining these parameters within the simulation, the system achieves high measurement precision for cellular fluctuations while maintaining low experimental cost. The parameter changes allow the simulation to capture subtle biological variations that would be costly to measure repeatedly in physical experiments.
Data Source
AI summary
A management system includes an arithmetic operation section for simulating a culture process based on parameters of processing of culture target cells by culture and cell attribute information regarding the probability distribution of cell attributes of the cells, and an output section outputting a first manufacturing parameter classification criterion based on culture experiment data of the cells and quality criterion related to the cells, the information about the first manufacturing criterion comprising manufacturing conditions that are satisfied when the cells are cultured. The arithmetic operation section calculates evaluation indicator information based on results of the simulation and the quality criterion, the evaluation indicator information being an evaluation indicator regarding a quality indicator at the time when the cells are cultured using each of values included in the parameter information, and causes information about a revision proposal for the first manufacturing parameter classification criterion based on the evaluation indicator information.