What Is Deep Health® and Why Does It Matter?
Most health advice is shallow. Deep Health® shows you what’s really happening in your body—at the root level.
In today’s world of wearables, wellness apps, and viral health fads, it’s easy to confuse data with understanding. Just because your smartwatch tells you your heart rate or step count doesn’t mean you’re truly healthy. These surface-level metrics often paint a false picture of well-being.
That’s where Deep Health® comes in.
🔬 Surface Health
- Body Weight
- Body Fat
- BMI
- Water Weight
- Bome Density
🌱 Deep Health®
- Cellular Energy Capacity
- Blood Oxygen Capacity
- Neuromuscular Tissue
- Mitochondrial Density
- Heart Health
- Liver Health
- Organ Health
What Is Deep Health®?
It is an integrative, scientific system I developed to measure and monitor human health at a cellular and systemic level. It requires standing on the device to apply deep tissue pressure on the sensors for accurate measurement. It uses proprietary technology and AI to scan and track the key indicators that determine long-term health, vitality, and aging.
📊 It’s already in use by over 180 million people in Southeast Asia.
It gives you a detailed breakdown of various tissue components: muscle, fat, neuromuscular tissue (tendons & ligaments) and bone mass. This helps you understand the key physical elements of your health score. Just like you have a credit score based on various financial factors, the Deep Health® Device assigns you an overall “health score” ranging from 0 to 100. Your score is based on your:
· Cellular energy (ATP refresh) capacity
… as well as 7 other factors.
The Health Index is based on a weighted composite of these health factors. Your anonymized data is compared against a database of over 183 million others who have previously been measured. This determines where your health ranks on a spectrum, versus other people of a similar age and sex.
Why Deep Health® Matters More Than Ever
We live in a time of:
Chronic disease
Digital distraction
Superficial wellness fads
It empowers people to:
✅ Detect issues before symptoms arise
✅ Reverse chronic conditions at the root
✅ Understand their true health—not just a number
🔍 It brings clarity where most modern wellness creates confusion.
The AI within Deep Health® Device
The device uses machine learning because almost all the data is collected by sensors within the Deep Health® Device.
- Classification: It classifies whether the data being collected is “normal” for the individual or “abnormal” (e.g., arrhythmia)
- Anomaly detection: Sudden changes are easy to detect but need to be recognized (e.g., peripheral oxygen saturation)
- Time series extrapolation: Gradual change requires sophisticated knowledge by the AI engine. In the recent case of hypertrophic cardiomyopathy in a 28 year old male, the AI in the Deep Health® Device recognized the gradual signal abnormality due to the thickening of his heart valve. It predicted that the changes in his vitals would cross a dangerous threshold within 3 years. It flagged this, monitored it for another 3 months, and then raised an alarm for intervention by a medical professional.
There are 16 analog and digital sensors and four pressure sensors in the Deep Health® Device. Convolutional Neural Networks (CNNs) are used for interpreting sensor patterns from these sensors.
More than 40 years of health research and knowledge has been trained in the unique Large Language Model (LLM) called “Deep Health® AI”.
The Deep Health® Device has the world’s first AI-ML (Machine Language AI) and LLM AI integrated in the world’s most comprehensive AI engine for health.
Deep Health® Isn’t a Buzzword. It’s a Revolution.
Learn More About Deep Health®
When you understand your health, you can stop chasing fads and start taking meaningful action toward long-term vitality.
The device helps you see the truth within—so you can take control of your vitality.
Dr. Bomi Joseph
Health & Longevity Expert | Inventor of Deep Health®
Sharing honest, science-backed wellness guidance rooted in nature, discipline, and decades of research.
