Summary of the project

We aim to realize a society in which, by 2050, information on diabetes and its co-morbidities will be fed back to patients without the need for blood tests during health screenings, and it will be common for patients to be restored to normal in a very early stage of the disease.
To that end, by 2030, ① we will gain a comprehensive understanding of the mechanisms underlying inter-organ networks related to metabolism and circulation from a biological perspective, incorporating mathematical methods. ② Based on our understanding of inter-organ networks, we will develop preventive, therapeutic, and diagnostic technologies for diabetes. ③ We will promote the development of contactless devices capable of easily acquiring human biometric data and advance the analysis of human data with a view to its implementation in society. ④ We will build a future healthcare platform that enables the definition of pre-disease states and prognosis prediction through mathematical model analysis that integrates animal experiments with human big data.

Milestone by year 2030

We will develop preventive interventions for diabetes and co-morbidities and establish a simple, very early diagnostic method.

• We aim to comprehensively understand the mechanisms underlying the maintenance of metabolic homeostasis by mathematically modeling them based on our elucidation of the inter-organ network system, thereby uncovering the essence of homeostasis.
• We will optimize methods for preventive intervention in various pathological conditions associated with diabetes and its co-morbidities by controlling the inter-organ network system, with the aim of advancing these approaches to clinical trials.
• We will implement a method for identifying and assessing diabetes and co-morbidities using non-invasive biometric data acquisition devices.

R&D Items through FY2025

• [1] Elucidation of homeostatic mechanisms by inter-organ communication and development of therapeutic and diagnostic methods
• [2] Elucidation and control of the mechanism of multi-organ transformation in diabetes mellitus
• [3] Development of technology for easy acquisition of biometric data in humans and analysis of human data
• [4 & 5] Understanding homeostasis through mathematical model analysis and its applications, Understanding the pre-symptomatic stage of diabetes and its complications and building a database
• Progress Report (921KB)

R&D Items from FY2026

• [101] Early detection of diabetes and comorbidities
• [102] Elucidation of the pathogenesis of diabetes and comorbidities based on inter-organ networks
• [103] Development of methods for the prevention and treatment of diabetes and comorbidities
• [104] Understanding homeostasis and pathology through mathematical and computational science approaches

Performers

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• Summary of the project (293 KB)