Medical Research Package v1.0

Medical Research Package v1.0

A comprehensive digital twin of the human body for medical research, drug discovery, and physiological simulation.

🧬 What is This?

The Medical Research Package is a complete, mathematically-driven simulation of the human body. It models 12 organ systems with real physiological equations, enabling researchers to:

  • Simulate drug interventions and predict outcomes
  • Study disease progression in a controlled environment
  • Test hypotheses without animal or human trials
  • Understand complex organ interactions and feedback loops

🫀 Features

Digital Human Body Model

  • 12 Organ Systems: Heart, Lungs, Brain, Liver, Kidneys, Gut, Pancreas, Immune System, Endocrine, Muscles, Bones, Skin
  • Real Physiology: Cardiac output, GFR, glucose regulation, oxygen transport
  • Homeostasis: Automatic feedback loops maintain balance
  • Aging Simulation: Geriatric module models age-related decline

Drug Discovery Framework

  • Drug Library: 50+ common medications with mechanisms
  • Safety Testing: Predict side effects and contraindications
  • Dosage Optimization: Find therapeutic windows
  • Interaction Analysis: Multi-drug compatibility checks

NanoCERN Knowledge Reactor

  • Knowledge Units (KUs): Atomic facts with causal relationships
  • Deterministic Reasoning: No hallucinations, only verified logic
  • Self-Learning: Extracts knowledge from medical literature

📚 The Math Behind It

This isn’t magic—it’s pure mathematics. Every organ follows simple algebraic rules:

Cardiac Output = Heart Rate × Stroke Volume
GFR = Normal Rate × Pressure Factor × Blood Flow Factor
Health Score = Average(All Organ Scores)

Think of it as a video game character where every stat is calculated in real-time. No guessing—just equations.

🎯 Who Is This For?

  • Medical Students: Visualize physiology concepts interactively
  • Researchers: Test hypotheses without ethical constraints
  • Pharmacologists: Predict drug effects before clinical trials
  • Educators: Teach homeostasis with live simulations
  • Curious Minds: Understand how your body actually works

🚀 Quick Start

1. Download the Package

📦 Download Medical Research Package v1.0

2. Install Requirements

pip install numpy scipy matplotlib

3. Run Your First Simulation

from body_model.body_state_model import BodyStateModel

# Create a digital human
body = BodyStateModel()

# Simulate 1 hour of life
for minute in range(60):
    body.step(dt=60)  # 60 seconds
    print(f"Health: {body.homeostasis:.1f}%")

# Check organ status
print(body.heart.cardiac_output)  # Liters/min
print(body.kidneys.gfr)  # ml/min

📖 Documentation

  • Installation Guide: docs/INSTALLATION.md
  • Quick Start: docs/QUICKSTART.md
  • API Reference: docs/API_REFERENCE.md
  • Research Applications: docs/RESEARCH_APPLICATIONS.md
  • Math Explained: See the “Twin Body & Brain Math” section below

🧠 Twin Body & Brain: The Math Explained

Ever wondered how we put a human body inside a computer? We don’t use blood and bones—we use Math.

1. The Scorecard: What is “Health”? 📊

Imagine your body is a character in a video game. How do you know if you’re winning or losing? You look at your Health Bar.

In our Digital Twin, “Health” isn’t a feeling; it’s a number called Homeostasis.

Total Health = (Heart Score + Brain Score + Kidney Score + ...) / 12

Example: If Heart = 100%, Kidneys = 50%, Brain = 100%:

Health = (100 + 50 + 100) / 3 = 83.3%

Analogy: It’s like your Report Card. If you get an ‘A’ in Math but a ‘C’ in History, your GPA goes down a little.

2. The Heart: The Great Pump 💖

The heart has one main job: Pushing blood around. In math, we call this Cardiac Output (CO).

Cardiac Output = Heart Rate × Stroke Volume

Example: Heart beats 70 times/min, each beat pumps 70ml:

Cardiac Output = 70 × 70 = 4900 ml/min ≈ 5 Liters/min

That’s almost 5 bottles of soda pumped every minute!

3. The Kidneys: The Pressure Filter 💧

Your kidneys are like a coffee filter. They clean your blood. The speed is called GFR (Glomerular Filtration Rate).

Filtration Rate = Normal Rate × Pressure Factor × Blood Flow Factor

If blood pressure drops by half (0.5), kidney cleaning drops by half:

New Rate = 100 × 0.5 = 50 ml/min

4. Feedback Loops: The Body’s Thermostat 🌡️

Your body is smart. If one number goes wrong, another changes to fix it. This is a Feedback Loop.

Example: The “Thirst” Loop

  1. Kidneys notice “Low Flow”
  2. They calculate “Fluid Retention” (how much pee to hold back)
  3. This signal is sent to the Heart
  4. Heart’s “Preload” (filling) goes UP
New Heart Pressure = Old Pressure + (Fluid Retained / 100)

🔬 Example Use Cases

Case 1: Diabetes Simulation

# Simulate Type 2 Diabetes
body.pancreas.insulin_sensitivity = 0.3  # 30% sensitivity
body.step(dt=3600)  # 1 hour

print(f"Blood Glucose: {body.blood_glucose} mg/dL")
# Expected: High glucose (>200 mg/dL)

Case 2: Drug Testing

from drug_discovery.drugs.drug_library import DrugLibrary

# Test Metformin on diabetic body
drug = DrugLibrary.get_drug("metformin")
body.apply_drug(drug, dose_mg=500)

# Simulate 24 hours
for hour in range(24):
    body.step(dt=3600)
    print(f"Hour {hour}: Glucose = {body.blood_glucose}")

Case 3: Heart Failure Progression

# Simulate declining heart function
for week in range(52):  # 1 year
    body.heart.contractility *= 0.99  # 1% decline/week
    body.step(dt=604800)  # 1 week
    
    print(f"Week {week}: CO = {body.heart.cardiac_output} L/min")

⚠️ Disclaimer

This is a research tool, not a medical device. Do not use for clinical diagnosis or treatment decisions. Always consult licensed healthcare professionals.

📜 License

MIT License – Free for research and educational use.

👨‍💻 Author

Shrikant Bhosale
Medical Research & AI Systems

🔗 Related Resources

Last Updated: January 2026