What are the Computational Challenges in Personalized Medicine?
Personalized medicine aims to tailor treatments to individual patients based on their genetic makeup, lifestyle, and other factors. This approach requires the integration of diverse datasets, including genomic, proteomic, and clinical data. The computational challenges include data integration, standardization, and the need for sophisticated algorithms to analyze and interpret the data effectively.
