Two groups led by Eran Elinav and Eran Segal have presented a stunning paper providing startling new insight into the personal nature of nutrition. The Israeli research teams have demonstrated that there exists a high degree of variability in the responses of different individuals to identical meals, and through the elegant application of machine learning, they have provided insight into the diverse factors underlying this variability. For more on the study published in Cell click here.