Mehta Research Group Advances Nutrition Science with Precision Technology

Prof. Mehta also serves as the founding director of the Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, which conducts research building on the group's earlier work. This center aims to combine nutrition and technology to create practical solutions informed by their findings.

Improving the accessibility of point-of-care diagnostics is essential for promoting precision nutrition, which tailors dietary recommendations based on individual biology, food responses, life stages, preferences, culture, religion, and socioeconomic factors. These diagnostics allow for personalized nutrition strategies based on individual assessments.

Point-of-care technologies can integrate mobile apps and devices to analyze blood or saliva samples, determining nutrient levels and overall health status. Approximately 12 to 13 years ago, the group began developing such devices in collaboration with Prof. David Erickson from the engineering department. Their goal is to enhance interdisciplinary work at Cornell to improve nutrient delivery technologies.

The research group created the AnemiaPhone, a device that analyzes a drop of blood to identify iron deficiency, a leading cause of anemia. In 2024, a partnership with the Indian government will enable its use in public health programs for women and children.

Mehta highlighted the advantages of targeting iron deficiency directly, noting that it conserves resources and reduces unnecessary side effects while increasing adherence to treatment programs.

According to the National Institutes of Health, malnutrition is a significant global health concern. Mehta’s commitment to nutrition research stems from recognizing its vital role in reducing mortality risk through a modifiable factor: diet. He asserted the need for greater focus on nutrition’s public health implications.

Looking ahead, the group aims to ensure their point-of-care diagnostics are widely implemented. Mehta also noted that incorporating computer science and artificial intelligence into nutrition could enhance data collection and analysis, allowing for better identification of individual needs.

A recent NIH grant for AI training represents an opportunity for the next generation of scientists. Mehta expressed a desire to foster a community skilled in both computer science and nutrition science, capable of making substantial contributions to precision nutrition.

Samantha Huey, a former graduate student in the Mehta Research Group, now leads research in nutrition at the Joan Klein Jacobs Center. She stressed the critical need for maternal and child health. Huey noted that addressing anemia in this demographic could significantly impact overall health outcomes.

Huey contributed to a narrative review published in Nature Communications, examining the application of AI and machine learning in enhancing maternal and child nutrition in lower-income communities. The review discussed existing technologies for assessing nutritional status and acknowledged gaps in research representation, particularly for mothers and children.

The Joan Klein Jacobs Center is committed to making nutrition research accessible, utilizing plain language summaries, podcasts, and blogs to share findings. They are also developing large language model platforms to facilitate public access to systematic reviews.

Mehta pointed out that misinformation is prevalent in nutrition research, highlighting the need for better public understanding of nutrition nuances to help discern trustworthy information in the media.