
One of the most important lessons from clinical informatics is that individual trends often matter more than population norms. Healthcare has traditionally relied on reference ranges derived from large populations. Wearable technology allows us to move beyond this model.
For the first time, individuals can establish personalized physiological baselines.
This shift represents a fundamental evolution toward precision health.
Your normal resting heart rate may differ significantly from someone else's.
Your normal heart rate variability may differ substantially from published averages.
Your sleep architecture may be unique to your physiology, lifestyle, genetics, and health status.
What matters most is not whether you match a population average. What matters is whether you are deviating from your own baseline.
This concept forms the foundation of modern digital biomarker research. Relative change often carries greater predictive value than absolute numbers. A sudden deviation from your personal norm frequently tells us more than comparison to a generalized reference range.
📖 Get your copy on Amazon:
https://www.amazon.com/AI-MD-Rx-Prescription-Wearables/dp/B0H38BTM83
🌐 Learn more about Dr. Abbaszadegan and The AI MD:
https://theaimd.ai/about
📲 Follow The AI MD for evidence-based insights on AI, digital health, wearable technology, longevity, and the future of medicine:
https://www.instagram.com/theaimd/

Stay Connected
If you’d like these insights delivered straight to your inbox, you can sign up below. You’ll receive evidence-based perspectives on AI in healthcare, practical implementation guidance, and updates on speaking engagements and media appearances.