Three Stages of Life: Prolonging Vitality with Digital Twin

Life unfolds in three distinct phases: the formative years preceding the maturation of the prefrontal cortex+, a period of stable homeostasis, and a phase of accelerated functional decline post the crossing of Health Alarm Points.**

The innovative digital twin model, CorrBody, offers a method to identify these Health Alarm Points and delay the onset of degeneration. It constructs a dynamic virtual counterpart of a physical entity, such as the human body or particular organs, simulating real-time behaviors and interactions.

In this context, the traditional notion of biological age is rendered obsolete. Time is inherently tied to the environment we occupy. The pursuit of longevity, especially under arduous conditions akin to galley slaves, is devoid of significance.

CorrBody’s technology enables ongoing, private monitoring of hormonal health, shifting from reactive treatment to proactive prevention of diseases.

Notes:

* The human brain, especially the prefrontal cortex which governs decision-making and impulse control, continues its development until approximately 25 years of age. This implies that while individuals attain legal adulthood at 18, their cerebral maturation is ongoing.

** Examples of Health Alarm Points include:

Glycogen Thresholds: The phenomenon known as ‘hitting the wall’ manifests as abrupt exhaustion, comparable to running submerged in water. Typically, muscle glycogen reserves significantly deplete after roughly 90 minutes of sustained exercise, such as a marathon.

Glucose Monitoring: Devices like Libre 3 and Dexcom G7 are renowned continuous glucose monitoring (CGM) systems. The Libre system measures glucose levels in the interstitial fluid, which envelops the tissue cells beneath the skin, rather than directly from the bloodstream, with a 5 to 10-minute lag in reflecting blood glucose changes. Both devices are designed to be inconspicuous and comfortable.

Hormonal Fluctuations: AnalyteAI?, developed by Pepex Biomedical, Inc., and augmented by cutting-edge technologies such as FPGA acceleration, shows potential in detecting shifts in age-related hormones via subdermal biomarker analysis.?