Research paper
Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-94. doi:10.1016/j.cell.2015.11.001
Why we cite it
Landmark study demonstrating that glycemic responses to identical foods vary enormously between individuals, undermining the premise of universal dietary recommendations. The scale (800 people, 46,898 meals, continuous glucose monitoring) and the machine learning approach — validated on an independent cohort and tested in a blinded RCT — make this one of the most influential papers in personalized nutrition.
DOI: 10.1016/j.cell.2015.11.001 · PubMed 26590418 · Publisher