Emergence in Medicine: AI and Digital Twins

The article analyzes the role of artificial intelligence in medicine as a tool for managing systems with a high degree of emergence. The author points out that while breakthroughs such as AlphaFold revolutionize protein structure prediction, moving from the molecular level to effective clinical therapy requires considering the multi-level organization of the organism. The text emphasizes that precision medicine is not based solely on genetic data, but on the integration of so-called multi-omics (proteomics, metabolomics, and others), which allows for the creation of more reliable digital models of the patient. AI becomes an indispensable tool here for synthesizing an excess of information into specific therapeutic decisions, while maintaining awareness of the limitations of computational models relative to physical biological complexity.