Digital Twin-Enabled Personalized Nutrition Improves Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes: Results of a 1-Year Randomized Controlled Study.

Shashank Joshi¹, Paramesh Shamanna², Mala Dharmalingam³, Arun Vadavi⁴, Ashok Keshavamurthy⁵, Lisa Shah⁶, Jeffrey I Mechanick⁷

¹Department of Diabetology and Endocrinology, Lilavati Hospital and Research center, Mumbai, India.

²Department of Diabetes, Bangalore Diabetes Centre, Bangalore, Karnataka, India. Electronic address: drparamesh2@gmail.com.

³Ramaiah Medical College, Bangalore Endocrinology & Diabetes Research Centre, Bangalore, Karnataka, India.

⁴Department of Diabetes, Sudha Prevention Centre, Bangalore, Karnataka, India.

⁵Department of Diabetes, Chandana Clinic, Bangalore, Karnataka, India.

⁶Chief Medical Officer, Twin Health, Mountain View, California.

⁷Professor of Medicine, Medical Director, The Marie-Josee and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Heart. Director, Metabolic Support, Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York.

PubMed DOI

Abstract

OBJECTIVE: Postprandial hyperglycemia drives insulin resistance and inflammation, leading to metabolic dysfunction-associated fatty liver disease (MAFLD). Prediction of postprandial glycemic responses by digital twin (DT) technology can fashion a personalized nutrition, activity, and sleep to treat type 2 diabetes (T2D) and MAFLD. This study examines the effects of DT-enabled personalized nutritio…

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