Mechanistic models versus machine learning: a fight worth fighting for the biological community? 90% of the world’s data have been generated in the last five years. A small fraction of these data is collected with the aim of validating specific hypotheses. These studies are led by the development of mechanistic models focussed on the causality of input-output relationships. However, the vast majority of the data are aimed at supporting statistical or correlation studies that bypass the need for causality and focus exclusively on prediction. Read more about Mechanistic models versus machine learning: a fight worth fighting for the biological community?