DayTwo's individualized nutrition profile predicts how a person will respond to different foods and food combinations based on their unique gut microbe composition and other clinical parameters. DayTwo's machine-learning-enabled model is based on technology from a study conducted by Professors Eran Segal, who holds a Ph.D. in Computer Science and Genetics from Stanford University, and Immunologist Eran Elinav, M.D., Ph.D. at The Weizmann Institute of Science in Israel.