Cancer Patient Digital Twin
A simulation platform for modeling cancer progression, integrating real-time health data, and visualizing patient health metrics over time.
Simulation Models
Simulate cancer progression using mathematical models such as:
- Gompertz growth model
- Exponential growth model
- Logistic growth model
Based on real patient data and real-time updates.
Data Visualization
Comprehensive visualization of patient health data:
- Tumor size progression charts
- Vital signs monitoring
- Lab results tracking
- Treatment timelines
Treatment Simulation
Predict treatment outcomes and optimize therapy plans:
- Simulate various treatment approaches
- Adjust treatment parameters
- Compare potential outcomes
- Support clinical decision-making
About This Project
The Cancer Patient Digital Twin is an MVP (Minimum Viable Product) designed to help healthcare providers simulate and visualize cancer progression in patients. By integrating real-time health data and applying mathematical models, this platform aims to provide insights into disease progression and treatment responses.
This tool is intended for research and educational purposes and should be used in conjunction with clinical expertise and established medical practices.