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Newswise — Washington D.C. – Accurate measure of energy intake and expenditure   has proven challenging, but with recent innovations in bioinformatics and engineered devices — such as wearable sensors, software applications and web-based tools — food and nutrition research can advance.

Recent interest in personalized and precision nutrition can lead to more interdisciplinary innovation in improving future research tools.

A new paper, “” that appears in the journal Advances in Nutrition provides a unique perspective of each stage of the technology tool life cycle — from development, to research and multi-user applications.

This paper exemplifies a convergence of efforts of scientists from food and nutrition sciences, exercise physiology, bioengineering and bioinformatics, collaborating to address cross-cutting issues in improving the measurement of energy intake and expenditure.

According to lead author Sai Krupa Das, PhD, a scientist on the Energy Metabolism Team at the Jean Mayer USDA Human Nutrition Research Center on Aging (HNRCA) at Tufts University, “The future of personalized health, including nutrition and physical activity guidance, relies heavily on our knowledge of individual behavior. To gain the knowledge necessary to inform personalized health interventions targeting nutrition and physical activity, we first must be able to accurately assess related behaviors.”

This research review publication was a collaboration between researchers from the Jean Mayer USDA HNRCA at Tufts University and other academic institutions, and the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), 501(c)(3) science-focused nonprofit uniquely positioned to mobilize government, industry, and academia to drive, fund and lead actionable research. . The Jean Mayer USDA HNRCA and IAFNS contributed funding for this work.