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"Observational Medicine" should be replaced by "Real Science".

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Fundamental biological principles are lacking for predictive clinical models. A new model integrating regeneration, degeneration, and inflammation, governed by six laws, offers predictive capabilities for diseases like coronary heart disease.

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Area of Science:

  • Biology
  • Biomedical Science
  • Systems Biology

Background:

  • Current clinical trials generate observations but lack predictive power due to absence of fundamental biological principles.
  • Observational Medicine, while advancing knowledge, has not identified core principles for predicting individual patient outcomes.
  • Existing biological understanding struggles to model and predict disease progression and treatment efficacy.

Purpose of the Study:

  • To propose and validate a novel biological model for predicting clinical outcomes.
  • To demonstrate that biology can be quantified and modeled using fundamental principles.
  • To re-evaluate historical medical observations through a new predictive framework.

Main Methods:

  • Developing a biologic model based on regeneration/degeneration, moderated by inflammation and framed by six proposed laws of biology.
  • Quantifying biological processes using mechanical statistical entropy.
  • Examining historical data from Framingham studies and the Women's Health Initiative using the new model.

Main Results:

  • The proposed model explains observations from the Framingham studies by linking outcomes to circulating stem cell quantity and patient inflammatory status.
  • The model elucidates the inability of the Women's Health Initiative to explain the female advantage in coronary heart disease.
  • The model successfully predicts outcomes in coronary disease and heart failure, explaining disease paradoxes.

Conclusions:

  • A predictive model for biology is achievable by defining fundamental principles, laws, and quantifiable metrics.
  • Integrating regeneration, degeneration, and inflammation offers a robust framework for understanding and predicting disease.
  • Future clinical trials should incorporate patient stem cell quantity and inflammatory status for enhanced efficiency and predictive accuracy.