Chaos and Antichaos in Pathology
July 1994
in “
Human Pathology
”
TLDR Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
The 1994 article explored the role of deterministic chaos in pathology, suggesting that patterns in experimental data that seem random might actually be caused by nonlinear dynamics. The authors used tumor growth models to demonstrate chaos and discussed methods to detect chaotic patterns in data. They proposed that recognizing chaotic processes in pathology could impact the prediction of lesion behavior and alter prognostic techniques. The paper also introduced the concept of antichaos, mechanisms that regulate chaos, which are crucial for maintaining order in physiological processes. The authors concluded that understanding deterministic chaos and antichaotic mechanisms could significantly improve our grasp of human pathophysiology and necessitate changes in diagnostic and predictive medical practices.