Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control.

Paramesh Shamanna¹, Shashank Joshi², Mohamed Thajudeen³, Lisa Shah³, Terrence Poon³, Maluk Mohamed³, Jahangir Mohammed³

¹Bangalore Diabetes Center, Bangalore, Karnataka, India.

²Department of Diabetology and Endocrinology, Lilavati Hospital and Research Center, Mumbai, India.

³Twin Health, Mountain View, CA, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Type 2 Diabetes (T2D) is a complex condition marked by insulin resistance and beta-cell dysfunction. Traditional dietary interventions, such as low-calorie or low-carbohydrate diets, typically overlook individual variability in postprandial glycemic responses (PPGRs), which can lead to suboptimal management of the disease. Recent advancements suggest that personalized nutrition, tailor…

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