According to Yun S. Song (@yun_s_song), a new solution has been developed to efficiently simulate phylodynamics in populations with billions of individuals, a challenge often encountered in fields such as viral evolution and cancer genomics (source: https://twitter.com/yun_s_song/status/1926018862333448663). By leveraging advanced AI algorithms and scalable computational techniques, this method enables large-scale, realistic modeling of evolutionary dynamics, which is critical for understanding pathogen spread and tumor progression. This breakthrough offers significant business opportunities for biotech and healthcare companies seeking to accelerate drug discovery, optimize treatment strategies, and enhance genomic research through high-throughput AI-powered simulation tools.