Parallel Distributed Processing for Multi-Scale Biological Integration and Brain-Guided Healing
PDPBioGen is a cutting-edge computational framework that bridges brain signals, biological processes, and healing optimization through parallel distributed processing and multi-agent AI collaboration.
| Traditional Approach | PDPBioGen Approach |
|---|---|
| โ Single-domain analysis | โ Multi-scale integration (molecular โ cellular โ organ) |
| โ Sequential processing | โ Parallel distributed computing across all domains |
| โ Static models | โ Dynamic, brain-guided optimization |
| โ Isolated systems | โ Cross-domain verification & collaboration |
PDPBioGen is a modular, multi-domain research framework for integrating neural, genomic, and metabolic data into a combined analysis and agent-driven optimization pipeline.
This repository contains:
- a clean Python package (pdpbiogen/) with domain mappers, an Integrator, and validation utilities;
- sample synthetic datasets (data/sample/);
- unit & integration tests (tests/) using pytest;
- a runnable example in examples/cross_domain_run.py.
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```python
# Simultaneous analysis across all biological domains
integrator = CrossDomainIntegrator()
human_map = integrator.create_human_map({
'neural': brain_activity_data,
'genomic': gene_expression_data,
'metabolic': pathway_activity_data
A verified multi-agent framework for multi-scale human biological integration to biological systems.
## ๐ Quick Start
```bash
# Install package
pip install neuro-symmetry-mapper
# OR install from source
git clone https://github.com/tlcagford/neuro-symmetry-mapper
cd neuro-symmetry-mapper
pip install -e .
# Download sample data
nsm-download --data-dir ./example_data
```markdown
## Installation
### From PyPI (Recommended)
```bash
pip install pdpbiogen
---
## ๐ Licensing
This project uses a **Dual-License model**:
- **Commercial License**: Required for for-profit, enterprise, or corporate use.
- **Open Academic & Personal License**: Free for academic research, public study, and personal exploration.
See the `LICENSE` file for details.
Badge:
```
Pull requests are welcome.
For major changes, open an issue to discuss your proposal.
A Contributor License Agreement (CLA) may be required for future releases.
Author: Tony E. Ford
Independent Researcher / Astrophysics & Quantum Systems
A verified multi-agent framework for multi-scale human biological integration, adapting AI collaboration paradigms to biological systems.