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A particular emerging interdisciplinary approach using machine learning is called “evolutionary accumulation modelling” or EvAM
Evolutionary accumulation modelling (EvAM)'s main task is to use data. It learns how an evolving system accumulates features. This happens over time. These features are often called "characters" in evolutionary biology, they are usually binary, and represent specific properties or values of interest in the system.
Evolutionary accumulation modelling (EvAM) has been applied across a very broad range of contexts in biology and beyond.
Diaz-Uriarte & Johnston 2024 IEEE Access 13: 62306–623…