Mechanistic Computer Model for Wound Healing Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for simulating wound healing and associated inflammation are limited in accuracy and complexity, with in vitro systems being insufficient for modeling in vivo processes, and in silico systems lacking the precision needed to fully capture the interplay of inflammation, tissue damage, and healing.
Innovation Solution
A mechanistic computer model using agent-based and/or equation-based modeling software to simulate the interrelated effects of inflammation, tissue damage, and healing, incorporating anti-inflammatory and pro-inflammatory agents, and therapeutic agents to predict tissue healing outcomes in clinical settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in vitro biological systems are used to model wound healing, then physical facilities are required and complexity is limited, but they cannot effectively model in vivo systems
Solution Approach 1:
The patent creates a virtual copy of the in vivo wound healing system through computer simulation. The in silico model replicates the complex biological processes, cellular interactions, and tissue regeneration mechanisms that occur in living organisms, allowing researchers to study wound healing without requiring physical in vivo facilities while maintaining high modeling accuracy.
Solution Approach 2:
The computational model serves multiple functions: it can simulate various wound types, test different therapeutic interventions, predict healing outcomes, and explore biological mechanisms. This multi-functionality allows the single in silico system to replace multiple specialized in vitro facilities while maintaining comprehensive modeling capability.
2Device complexity
If in silico systems are used to model wound healing, then computational complexity increases, but precision to capture interplay of inflammation, tissue damage, and healing is insufficient
Solution Approach 1:
The patent segments the wound healing process into distinct computational modules representing different biological components: inflammatory cells, cytokines, tissue damage mechanisms, and healing processes. Each module can be independently calibrated and validated, allowing the complex system to achieve high precision in capturing the interplay between these processes while managing computational complexity through modular architecture.
Solution Approach 2:
The model incorporates dynamic parameter changes that reflect the temporal and spatial variations in wound healing. By adjusting parameters such as cell migration rates, cytokine production levels, and tissue regeneration speeds based on experimental data, the computational model achieves precise representation of the complex biological interplay while maintaining computational efficiency through optimized parameter ranges.
Data Source
AI summary
Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.