https://github.com/sanarazaaa/drug-diffusion
https://github.com/sanarazaaa/drug-diffusion
matplotlib numpy python
Last synced: 11 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/sanarazaaa/drug-diffusion
- Owner: Sanarazaaa
- Created: 2024-11-28T12:07:13.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-28T13:09:36.000Z (about 1 year ago)
- Last Synced: 2025-03-28T08:45:18.588Z (11 months ago)
- Topics: matplotlib, numpy, python
- Language: Python
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Drug Diffusion Simulation in Human Tissues
## Overview
The **Drug Diffusion Simulation in Human Tissues** project provides a computational model to simulate the diffusion of a drug through human tissues over time. Utilizing Fick's laws of diffusion, this simulation visualizes how drug concentration varies at different depths within the tissue, offering valuable insights for researchers in pharmacology, biomedical engineering, and related fields.
## Features
- **Numerical Simulation:** Implements a finite difference method to model drug diffusion.
- **Dynamic Visualization:** Generates an animated plot to illustrate concentration profiles over time.
- **Customizable Parameters:** Users can easily modify key parameters such as:
- Diffusion coefficient
- Length of the tissue
- Total simulation time
- **Educational Tool:** Serves as a resource for understanding drug delivery mechanisms and pharmacokinetics.
## Installation
To set up the project, follow these steps:
1. **Clone the Repository:**
```bash
git clone https://github.com/yourusername/drug-diffusion-simulation.git
cd drug-diffusion-simulation
```
2. **Install Required Libraries:**
Ensure you have Python installed, then install the necessary libraries using pip:
```bash
pip install numpy matplotlib
```
## How It Works
**Diffusion Model:**
Simulates the diffusion process using the finite difference method to solve the diffusion equation.
Models a tissue as a 1D spatial grid with user-defined parameters.
**Visualization:**
Provides dynamic animations that depict the changing drug concentration over time.
**Adjustable Parameters:**
**D (Diffusion Coefficient):** Controls the speed of diffusion.
**L (Tissue Length):** Sets the simulated tissue depth.
**T (Total Simulation Time):** Specifies how long the diffusion is observed.
https://github.com/user-attachments/assets/ad4cf356-7a76-432e-bbd4-1955e67e2ada