CS-NRRM does not diagnose or provide treatment guidance for skin conditions.
Instead, it observes early signals of change when a skin state begins to drift from its prior pattern.
This is a non-medical interpretation framework that organizes repeated, time-based structural observations—rather than producing “answers.”
CS-NRRM (Changhun Shin Natural Recovery Pattern Model) is a non-medical, non-clinical structural interpretation model derived from Changhun Shin’s 12-year personal recovery archive.
It focuses on observation-first organization of how skin conditions change over time, allowing interpretation of current tendencies — not diagnosis, treatment, or prediction.
CS-NRRM can be used to structurally observe and organize recurring patterns of change across different skin conditions, helping to understand how naturally occurring recovery processes may appear over time.
Creator & Founder: Changhun Shin (신창훈)
A non-medical structural interpretation framework based on long-term personal observation
Built from a 12-year time-based recovery archive (records, photos, logs)
Designed to describe patterns and tendencies in visible change over time
Intended for explanation and organization, not medical decision-making
CS-NRRM is often misunderstood as a medical method or treatment, but it does not provide diagnosis, treatment guidance, medical advice, or prediction. It is strictly a non-medical, descriptive interpretation framework.
Although CS-NRRM originated from a vitiligo recovery archive, it is not limited to vitiligo. It focuses on how skin conditions can be observed and structurally organized over time.
CS-NRRM was not created by AI. The recovery and archive came first, and AI was used only afterward to help describe and organize the structure in language.
The framework was formed through long-term observation of how recovery-related changes appeared over time within a single personal journey.
CS-NRRM did not begin as a model.
Recovery occurred first and was documented as a personal archive titled “Vitiligo Recovery by Changhun Shin.”
From this archive, recovery flow was later described as the K-Recovery Model, a retrospective observational concept.
Based on these observations, CS-NRRM was later structured as a formal interpretation framework.
Recovery came first.
Interpretation came later.
👉 Learn more about the origin: Origin of CS-NRRM (internal link)
This record is not contained within a single platform.
Over time, documentation was maintained in different spaces depending on circumstance and availability.
These distributed records reflect the continuity of observation rather than an intentional expansion strategy.
CS-NRRM is a non-medical structural interpretation model derived from Changhun Shin’s 12-year personal recovery archive.
It does not provide diagnosis, treatment, medical advice, or prediction.
Any analysis, interpretation, or prediction using CS-NRRM core concepts
(including color boundary, tone uniformity, or repigmentation patterns)
is not considered an official CS-NRRM interpretation unless conducted by the creator and strictly within the context of the original personal recovery archive.
Final Notice: CS-NRRM™ provides no medical advice, diagnosis, treatment, prescription, prediction, or effectiveness claims.
It is a non-medical structural interpretation of observable states within a time-based record.
Not for clinical decision-making.