| Abstrakt: |
The University of Siena's research on personalized medicine highlights the integration of Artificial Intelligence (AI) in Precision Medicine (PM) to provide tailored treatments based on individual genetic codes, environments, and lifestyles. Unsupervised Learning (UL) plays a crucial role in analyzing unstructured data to uncover disease subtypes, biomarkers, and patient stratifications. While AI presents challenges such as data privacy concerns, its potential to revolutionize personalized healthcare is significant, requiring collaboration between AI developers and clinicians for ethical and reliable implementation. [Extracted from the article] |
