Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Tal Sigawi and Yaron Ilan's 2023 study introduces a novel approach to enhance the performance of digital twins in biological systems by embracing the inherent variability and 'noise' found in living organisms. Their research suggests that by incorporating the constrained-disorder principle, which acknowledges disorder as a natural aspect of living systems within dynamic boundaries, digital twins can be improved. This method involves adapting digital twins to accurately reflect the complex, noisy internal and external environments of biological systems, thereby increasing their accuracy and effectiveness for medical applications.