Additionally, machine learning models naturally represent biology as an integrated network, capturing complex, non-linear interactions that simple equations cannot. The Cellular Language of SymbolsThis relationship between machine learning and biology goes deeper than just modeling biological processes. The Future of Biological EngineeringIf machine learning truly is the native language of biology, what does this mean for bioengineering? For instance, neural ordinary differential equations allow us to incorporate mechanistic understanding into machine learning models, potentially offering the best of both worlds. But life, it seems, speaks the language of patterns, abstractions, symbols, and predictions—a language that we translate with machine learning.