Digital Twin Validation for Bioprinted Organ Part Synchronization
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Solution Overview
Problem
Current bioprinting techniques face challenges in determining the compatibility and synchronization of printed organ parts with the remaining organ, leading to potential complications during transplant procedures, such as improper functionality and synchronization of printed valve with the heart.
Innovation Solution
A digital twin computer simulation system is used to create an exact model of the organ, allowing for the validation of compatibility and synchronization of printed organ parts with the retained parts, ensuring accurate and efficient bioprinting by iteratively training models based on organ data and IoT sensor data to generate updated models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bioprinting is performed without digital twin validation, then bioprinting process is simpler and faster, but compatibility and synchronization of printed parts with retained organ parts cannot be ensured
Solution Approach 1:
The patent applies preliminary action by creating and validating digital twin models before actual bioprinting occurs. The system generates digital representations of both the printed parts and retained organ parts, performs compatibility validation in the digital domain, and only then proceeds with physical bioprinting. This preliminary digital validation ensures compatibility without adding complexity to the physical bioprinting process itself.
Solution Approach 2:
The patent uses copying by creating digital twin copies of the organ parts. Instead of directly manipulating physical organ parts for validation, the system creates accurate digital replicas (copies) that can be simulated and validated computationally. This copying approach allows for thorough compatibility checking without affecting the actual biological materials.
2Reliability
If digital twin validation is performed for all organ parts, then compatibility and synchronization are ensured, but computing time and processing resources increase
Solution Approach 1:
The patent applies segmentation by dividing the organ into distinct parts (printed parts and retained parts) and creating separate digital twin models for each. This segmentation allows for targeted validation of specific interfaces and interactions between parts, rather than requiring comprehensive validation of the entire organ system. The system can focus computational resources on critical synchronization points.
Solution Approach 2:
The patent implements partial action by performing validation only on the specific parameters and interfaces that are critical for synchronization and compatibility. Rather than exhaustively validating all possible parameters of the entire organ system, the system focuses on the essential aspects of printed-part-retained-part interaction, achieving sufficient validation with reduced computational overhead.
3Measurement precision
If iterative model training is performed with IoT sensor data, then accuracy of digital twin models improves, but data processing complexity and time increase
Solution Approach 1:
The patent implements feedback by continuously incorporating IoT sensor data from the patient's retained organ parts into the digital twin model training process. The system collects real-world physiological data, uses it to refine and update the digital models, and improves model accuracy over time. This feedback loop enables the digital twins to better represent actual patient-specific conditions without requiring overly complex processing systems.
Data Source
AI summary
Generating, using a computer, a digital twin model or simulation for organ transplant or organ repairs where organ data of an organ for a patient is received at a computer. Organ parts are identified based on organ data, and the organ parts include a retained portion of the organ and a replacement portion of the organ. A digital model is generated as a digital twin simulations of the organ parts based on the received organ data. Parameters for the organ parts is determined, which include dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ.