Every human is unique. Not just because of their brain — because of their entire body. Your blood chemistry, your hormones, your immune system, the physical structure of your brain — all of it together is what makes you you.
This project creates a biological fingerprint by combining:
- 🧠 Brain structure from CT/MRI scans
- 🩸 Blood chemistry across multiple time points
- ⚗️ Hormones (thyroid, metabolic)
- 🦠 Immunological history (what infections you've encountered)
- 🧪 Toxicology (what chemicals your body has been exposed to)
- 💧 Urinalysis
- 📈 Temporal evolution (how your biology changes over time)
The result is a unique Biological Signature ID — a hash-based fingerprint derived from your complete biological data.
This is not a medical tool. This doesn't tell you if you're sick. It tells you who you are, biologically.
Traditional neuroscience looks at the brain in isolation. But that's like reading one chapter of a book and claiming you know the whole story.
Your mind doesn't live only in your skull. It lives in:
- The hormones that regulate your mood and cognitive speed
- The immune cells that communicate with your brain via cytokines
- The gut bacteria that produce serotonin and GABA
- The blood that carries oxygen and nutrients to every neuron
- The peripheral nerves that define how you physically feel the world
If you want to truly map a human identity, you need to map the whole body.
This project is step one.
The first subject is the creator of this project — Daniel Gamo (born 1990, Spain). Real medical data. Real brain scan. Real person.
╔══════════════════════════════════════════════════════════════╗
║ SIGNATURE ID: BIO-4D82E6F1A39C ║
║ BRAIN ID: BRAIN-7F92AC4DE31B ║
║ Subject: GAMO, DANIEL ║
║ Age: 34 | Sex: M | Location: Spain ║
║ Data: Aug 2023 → Oct 2025 (2+ years tracked) ║
║ Completeness: 50% (8 of 16 biological systems mapped) ║
╚══════════════════════════════════════════════════════════════╝
| Marker | Value | Population Norm | Z-Score | What it means |
|---|---|---|---|---|
| Eosinophils | 0.7 x10³/µl | 0.0 - 0.5 | +3.60 | Unique immune/allergic phenotype |
| Eosinophils % | 9.2% | 0.4 - 6.5% | +3.77 | Top 1% of population |
| Neutrophils % | 39.6% | 41.5 - 72% | -2.25 | Below range — lymphocyte-dominant |
| LDL Cholesterol | 121 mg/dl | < 100 | +2.84 | Slightly elevated |
| Total Cholesterol | 205 mg/dl | < 200 | +2.10 | Borderline |
Most adults have more neutrophils than lymphocytes. This subject has the opposite (lymphocytes 42.1% vs neutrophils 39.6%). Only about 15-20% of healthy adult males show this pattern. It suggests a strong adaptive immune system.
| Metric | Change | Direction | Interpretation |
|---|---|---|---|
| Eosinophils | +75.0% | ↑ | Immune system shift |
| Triglycerides | -37.9% | ↓ | Significant metabolic improvement |
| HDL Cholesterol | +29.1% | ↑ | Better cardiovascular protection |
| Creatinine | -17.2% | ↓ | Improved kidney function |
| Hemoglobin | +7.9% | ↑ | Better oxygen carrying capacity |
You need medical lab results. In most countries, you can request your blood test results from your doctor. Brain scans (CT or MRI) require a medical referral.
git clone https://github.com/gamogestionweb/cognitive-signature.git
cd cognitive-signature
pip install -r requirements.txt
# Run the platform with the built-in case study
python src/cognitive_signature_platform.py ./output
# Or import and build your own
python -c "
from src.cognitive_signature_platform import *
subject = Subject('YOUR NAME', '1990-01-01', 'M')
platform = CognitiveSignaturePlatform(subject)
# Add your data...
report = platform.generate_report()
print(report['signature_id'])
"The platform outputs:
- A unique Signature ID (SHA-256 hash of all your biological data)
- Z-scores for every metric (how you compare to population norms)
- Computed indices (inflammation, cardiovascular risk, liver health, immune profile)
- Temporal evolution (how your biology changes between measurements)
- Distinctive markers (what makes you biologically unique)
- Interactive dashboard (HTML file you can open in any browser)
| File | What it is |
|---|---|
output/signature_report.json |
Complete raw data — every metric, Z-score, index, and analysis |
output/cognitive_signature_platform.html |
Interactive visual dashboard — open in any browser |
src/cognitive_signature_platform.py |
The platform source code |
src/brain_analyzer.py |
Original brain CT/MRI analyzer (v1) |
The platform doesn't just store numbers — it computes derived indices that reveal systemic patterns:
| Index | Formula | What it reveals |
|---|---|---|
| NLR | Neutrophils ÷ Lymphocytes | Systemic inflammation (lower = less inflammation) |
| PLR | Platelets ÷ Lymphocytes | Thromboinflammatory state |
| Atherogenic Index | (Total Chol - HDL) ÷ HDL | Cardiovascular risk |
| De Ritis Ratio | AST ÷ ALT | Liver integrity |
| TSH Index | TSH × Free T4 | Thyroid hormone sensitivity |
| Immune Profile | Lymphocyte% vs Neutrophil% | Adaptive vs innate immunity dominance |
- Brain structural analysis (CT)
- Complete blood chemistry (2 time points)
- Hematology (red cells, white cells, platelets)
- Lipid profile
- Hepatic function
- Renal function
- Electrolyte balance
- Thyroid hormones
- Vitamins (B12, folic acid)
- Iron metabolism
- Glycated hemoglobin
- Urinalysis
- 10-panel toxicology
- Serology (Hep B/C, HIV, syphilis, EBV)
| System | What's needed | Why it matters |
|---|---|---|
| Connectome | DTI + resting-state fMRI | Maps the brain's wiring — how regions communicate |
| Peripheral Nervous System | Nerve conduction studies | How your body sends signals to the brain |
| Sensory Receptor Map | Somatosensory testing | How you physically experience touch, pain, temperature |
| Microbiome | 16S rRNA gut sequencing | Your gut bacteria produce neurotransmitters |
| Full Endocrine | Cortisol, testosterone, insulin, IGF-1 | Hormones drive behavior and cognition |
| Inflammatory Cytokines | CRP, IL-6, TNF-alpha | Chronic inflammation affects brain function |
| Genome | Whole genome sequencing | Your biological source code |
| Epigenetics | DNA methylation array | How life experience modified your gene expression |
| Phase | Status | Description |
|---|---|---|
| 1 | ✅ Done | Brain structural signature from CT scan |
| 2 | ✅ Done | Blood chemistry + hematology + lipids + hepatic + renal |
| 2b | ✅ Done | Hormones + vitamins + serology + toxicology + urinalysis |
| 3 | 🔜 Next | Full endocrine panel (cortisol, testosterone, insulin) |
| 4 | 📋 Planned | Brain connectome (DTI + fMRI) |
| 5 | 📋 Planned | Microbiome + inflammatory cytokines |
| 6 | 📋 Planned | Genome + epigenetics |
| 7 | 📋 Planned | Peripheral nervous system + sensory mapping |
| 8 | 🌅 Horizon | Complete integrated biological model |
- Fork this repository
- Copy the data structure from
src/cognitive_signature_platform.py - Replace the values with your own lab results
- Run the analysis
- Submit a pull request if you want to contribute to the project
Privacy note: This project deals with medical data. Only share what you're comfortable making public. The case study subject chose to share his data openly for research purposes.
A Z-score tells you how far a value is from the population average:
- -1 to +1: Normal range (68% of people fall here)
- -2 to +2: Slight deviation (95% of people)
- Beyond ±2: Significantly different from most people
If your percentile is 85%, it means 85% of the population has a lower value than you.
- Python 3.8+ (no external dependencies for core analysis)
- HTML/CSS/JS (interactive dashboard — no build tools needed)
- Standard library only:
json,hashlib,math,dataclasses - Optional:
pydicom,nibabel,numpyfor brain scan processing
This is an open research project. Contributions welcome in any form:
- Add new biological data layers
- Improve the analysis algorithms
- Create better visualizations
- Add your own data as a case study
- Translate documentation
- Write about the philosophy
- Allen, J.S., et al. (2002). Normal neuroanatomical variation in the human brain
- Sporns, O. (2011). The human connectome: a complex network
- Cryan, J.F. & Dinan, T.G. (2012). Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour
- Slavich, G.M. & Irwin, M.R. (2014). From stress to inflammation and major depressive disorder
- Sled, J.G., et al. (2010). Regional variations in gray matter morphometry
MIT License — See LICENSE for details.
Daniel Gamo (@gamogestionweb)
"Every body is a universe. This tool helps you map yours."