According to @yun_s_song, a new solution developed with @mcelentano, W. DeWitt, and S. Prillo enables efficient simulation of phylodynamics for populations with billions of individuals, which is highly relevant for large-scale applications like viral evolution and cancer genomics (source: Twitter, May 23, 2025). For cryptocurrency traders and investors, this breakthrough in scalable AI modeling could accelerate the development of next-generation blockchain analytics and AI-driven trading tools, especially for projects leveraging genomic data and large population analytics. Enhanced simulation capabilities may also support more robust DeFi risk assessment models and bioinformatics-based token projects, potentially increasing market activity and investment opportunities in crypto sectors linked to AI and big data.