Summary of the project

We will utilize AI and mathematical model analysis to elucidate the mechanisms of the inter-organ networks involved in the regulation of metabolism and circulation. Based on this, we will develop a technology to more precisely detect diabetes and its co-morbidities in the pre-symptomatic stage. Furthermore, we will develop a method to control the inter-organ network with the aim of developing a method to improve the condition from the pre-symptomatic stage to the normal stage. Through this, we aim to realize a society in which, by 2050, information on diabetes and its co-morbidities will be fed back to patients, and it will be common for patients to be restored to normal in a very early stage of the disease.

Milestone by year 2030

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

• Identification of the inter-organ network systems that lead to metabolic homeostasis
• Utilization of mathematical modeling to elucidate the nature of homeostasis
• Optimization of methods to intervene prophylactically diabetes and its co-morbidities by regulating inter-organ network systems
• Implementation of a method to detect and evaluate diabetes and co-morbidities using a non-invasive biometric device

Milestone by year 2025

We propose preventive interventions for diabetes and co-morbidities and develop simple early-stage diagnostic methods.

• Identification of candidate targets within the inter-organ network system that can lead to preventive intervention methods
• Proposal of specific preventive interventions for diabetes and co-morbidities by controlling these targets
• Creation of an evaluation system for human pathology using non-invasive biometric devices and demonstration of its usefulness

R&D theme progress reports

• [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 (955KB)

Performers

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• Summary of the project (242KB)