"D" Theme - 60 Result(s)

 D

Data Analytics for Creation of Social Values

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特徴・独自性
  • My research field is a data analytics for creation of social values by data science approaches. In modern society, we can observe various data sets about our daily life, business or community. I aim to create new services for it using such data set and methods of Bayesian modeling, data mining or machine learning.
実用化イメージ

Researchers

Graduate School of Economics and Management

Tsukasa Ishigaki

newData science-based analysis for unsteady aerodynamic flows

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概要

Our group studies a range of unsteady flow phenomena leveraging data science, nonlinear machine learning, complex network theory, information theory, and computational fluid dynamics. Our ultimate goal is to build a data-oriented foundation for real-time analysis, modeling, and control of unsteady flows ubiquitously appearing in various situations around small air vehicles, airplanes, motor vehicles, and fluid-based industrial machines.

従来技術との比較

Equipped with nonlinear machine learning-based sparse sensor reconstruction and data compression supported through traditional numerical and experimental analysis, our approach enables high-resolution reconstruction, real-time prediction, and control of flow fields with limited availability of data.
These techniques are aimed at analyzing and controlling large-scale, complex nonlinear flow phenomena that have been challenging to tackle with conventional linear methods.

特徴・独自性
  • ・Real-time spatiotemporal flow field reconstruction from sparse sensors is enabled by turbulence super-resolution analysis with machine learning.
  • ・Understanding and modeling of unsteady fluid flows at low cost is made possible through low-dimensional manifold identification and compression.
  • ・Development of explainable machine-learning approaches for analyzing causal vortex interactions based on complex network theory and information theory.
  • ・Multi-modal data analysis through the fusion of numerical, experimental, and theoretical data.
実用化イメージ

Our group aims to develop technologies that accurately sense, predict, model, and control fluid flows —such as air and water— around objects including airplanes, automobiles, and wind turbines, even with sparse sensor information.

These technologies can contribute to society in various ways, including:
・Improving fuel efficiency and safety of aircraft
・Enhancing the aerodynamic performance of vehicles for energy savings
・Supporting disaster prevention through wind flow prediction during emergencies

We actively seek to co-create innovations through joint research with industrial companies interested in the following areas:

・Predicting and controlling fluid flows using AI and machine learning
・Understanding flow structures through information theory and network science
・Building highly accurate and reproducible models by integrating traditional fluid dynamics with modern data-driven methods

Equipped with physics-based nonlinear machine learning, we are working to develop groundbreaking fluid analysis technologies that benefit a wide range of industrial, environmental, and societal applications.

Researchers

Department of Aerospace Engineering, Graduate School of Engineering

Kai Fukami

Design and control of new weld interface during welding of dissimilar materials

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特徴・独自性
  • Welding of dissimilar materials is an important process to manufacture the future structures and devices, but it is hard to produce the high-performance welds because the excessive reaction at the weld interface deteriorates the weld properties. Our group attempts to develop the new dissimilar welding process to yield the new interface with the aimed properties through design and control of interfacial reaction as well as usage of solid-state welding processes, such as friction stir welding and ultrasonic welding.
実用化イメージ

We hope to have collaborative researches with willing companies for practical application of welding of dissimilar materials, including metal/metal and metal/thermoplastic composite, in transportation, infrastructure, and energy industries.

Researchers

Graduate School of Engineering

Yutaka Sato

Design and Development of 50 kg-class Micro Satellites

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特徴・独自性
  • We design and develop micro satellites in a format of 50 cm cubic size and 50 kg mass. We have developed the first and second micro satellites of Tohoku University, named “RISING” and “RISING-2”, launched by using JAXA’s H-IIA rocket vehicle in January 2009 and May 2014, respectively. Both satellites are operated from our ground station in the university. Particularly, RISING-2 has succeeded in capturing high precision color images of the Earth's surface at a spatial resolution of 5m, the highest in the world among 50kg-class satellites. Now the third micro satellite for international science mission is under the development. In addition, we are active in nano satellite development. The first nano-sat “RAIKO” in a 10 by 10 by 20 cm format was launched from the International Space Station in 2012. More nano-sats are under the development.
実用化イメージ

We would like to make innovation in space business by introducing a new paradigm for rapid and low cost development of space systems for various missions of remote sensing, earth observation, and space exploration. We have rich experience in the development of spacecraft bus systems, onboard avionics systems and mission instruments. Collaborations with technology and business partners are welcome.

Researchers

Graduate School of Engineering

Kazuya Yoshida

Design and Fabrication of Micro-Optical Devices Based on Optics, Especially Optical MEMS and Sensors

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特徴・独自性
  • On the basis of optical engineering, optical technologies for sensing mechanical motion, spectroscopic properties, and other physical/chemical characteristics are investigated. Moreover, using semiconductor micro/nano-fabrication technology, integrated micro-optical sensors, micro/nano optical systems, optical micro-electro-mechanical systems (MEMS) are studied. Micro laser scanner for display, deformable mirror for telescope, optical displacement encoder, and fluorescent analysis system are the examples of research topics.
実用化イメージ

Optical design, Optical industries, Industries relating to semiconductor micro fabrication and MEMS, optical telecommunications, etc.

Researchers

New Industry Creation Hatchery Center

Kazuhiro Hane

Developing energy creation and saving materials

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特徴・独自性
  • Most innovations have been triggered by advent of new materials. We focus on to explore new inorganic materials and their synthesis routes on the basis of our knowledge about the material design and various materials processing technologies. We develop proton conducting phosphate glasses working at intermediate temperatures and narrow gap oxide semiconductors applicable in visible and NIR regions. Thin-film solar cells, fuel cells using those materials are also developing.
実用化イメージ

We focus on oxide semiconductors and proton conducting electrolytes and electrodes in order to apply them in solar cells, fuel cells, light-emitting devices. But, applicable area of our technologies is not limited in those applications.

Researchers

Institute of Multidisciplinary Research for Advanced Materials

Takahisa Omata

Developing plastic waste sorter using Terahertz waves and social implementation of sustainable recycling technology

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概要

This research utilizes the characteristics of terahertz waves, used in next-generation communications and autonomous driving, to identify the materials of plastic waste. It improves existing recycling technologies and can be applied to evaluate the quality of recycled plastics, ensuring stable production of high-quality recycled plastics. It enables easy development of devices to solve various issues in containers and packaging and automobile recycling, contributing to the realization of decarbonization and a circular economy.

従来技術との比較

Conventional plastic waste identification and sorting technologies use specific gravity sorting or near-infrared devices. Particularly, near-infrared sorting technology has accumulated an enormous amount of data and serves as the primary sorting technology in plastic recycling plants. However, near-infrared devices struggle with identifying black plastics, additives, and degradation. This technology uses terahertz waves to measure and evaluate transmission and absorption characteristics, allowing for identification of black plastics, additives, and degradation.

特徴・独自性
  • In recent years, there has been increasing global attention on plastic waste issues, such as marine pollution from drifting garbage and microplastics, the overseas export of plastic waste resources, and the increase in disposable containers like plastic bags and straws, especially due to the impact of COVID-19. There is growing demand for advanced identification and recycling of plastic waste materials, especially in the context of achieving the Sustainable Development Goals (SDGs) and realizing a circular economy.
  • The research group from Tohoku University, Shibaura Institute of Technology, and Shizuoka University has conducted research on the commercialization of advanced sorting devices for plastic packaging waste. We have successfully identified mixed plastics containing black plastics, additives, and flame retardants, which were difficult to identify with existing devices, by utilizing the characteristics of terahertz waves. We have also confirmed the ability of terahertz waves in assessing degradation caused by UV or long-term use. Furthermore, the method has been shown to be effective for distinguishing bioplastics, which is expected to see increasing demand in the future, in addition to plastic waste from container packaging, automobiles, and home appliances.
  • These identification technologies can be applied to properly sort plastic waste generated by the “The Plastic Resource Circulation Act,” enacted in 2022, contributing greatly to securing high-quality recycled resources through plastic waste resource recycling.
  • Our research group conducts interdisciplinary research with experts in various fields: social engineering, resource circulation (Professor Jeongsoo YU), optical engineering (Professor Tadao TANABE of Shibaura Institute of Technology and Professor Tetsuo SASAKI of Shizuoka University), information science and big data analysis (Associate Professor Kazuaki OKUBO), data collection and analysis, international cooperation (Specially Appointed Lecturer Gaku MANAGO), social experiments, and behavioral economics (Assistant Professor Xiaoyue LIU). We address the needs from social, economic, and environmental issues both domestically and internationally, working from diverse perspectives to solve challenges and contribute to the creation of a sustainable society. Collaboration and networking with private companies, government agencies, research institutions, and civic organizations are also expected.
実用化イメージ

This technology can be applied to the development of plastic waste identification and sorting devices from processes such as containers and packaging recycling, automobile recycling, and home appliance recycling, as well as the production and quality evaluation of recycled plastics.

Researchers

Graduate School of International Cultural Studies

Jeongsoo Yu

Development and evaluation of various inhibitors and disinfectants for SARS-CoV-2

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特徴・独自性
  • Using the infectious SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2), we are evaluating and developing new therapeutic drug candidates as well as evaluating disinfectants. Further analyses such as mechanism of action and resistance may be applicable. Other pathogens, including influenza virus and drug-resistant bacteria, will be examined upon request and discussion. Through joint and collaborative research with domestic and overseas pharmaceutical companies and related companies, we have experience of their clinical application including basic research.
実用化イメージ

We support development and evaluation of various inhibitors and disinfectants for variants of SARS-CoV-2 as well as wild type.

Researchers

International Research Institute of Disaster Science

Eiichi Kodama

Development of a Novel Quantification Method for Diarrhetic Schell Fish Poisoning

特徴・独自性
  • We have investigated isolation and structure determination of natural products and evaluated mode of their actions. We have especially focused on marine natural products causative for a food poisoning, diarrheic shellfish poisoning (DSP), which has spread worldwide and threatened regional fishery industry. Dinophysistoxin produced by the dinoflagellate Dinophysis spp. and okadaic acid, are thought to be responsible for DSP. Acute toxicity test using mice has been the primary method for detection of DSP in the fish market, though an alternative method to quantify DSP without sacrificing mice has been requested. We isolated OABP2, a novel okadaic acid binding protein, from the marine sponge Halichondria okadai and succeeded in expression of the recombinant OABP2 in E. coli, which eventually showed high affinity to the DSP toxins.
実用化イメージ

We are now working on visualization of OA by utilizing OABP2 in order to provide an easy and quick quantification method for DSP.

Researchers

Graduate School of Agricultural Science

Keiichi Konoki

Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions

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概要

Focusing on the lubricant film flow with phase change between the engine piston pin and connecting rod small end, we developed a new multiphase fluid-structure coupled analysis method that takes into account elastic deformation of the structure and flow path changes and developed a simulation prediction method for tribological properties under high load conditions. The simulation prediction method for tribological properties under high load conditions has been created. As a result, we succeeded in simulation prediction of the wear/seizure generating areas in sliding parts. We discovered that the peculiar deformation behavior of the components is the cause of wear/seizure.

従来技術との比較

It has been thought that computational prediction is impossible to verify the wear and seizure locations in fluid lubrication. Still, this study succeeded in the simulation prediction of wear and seizure locations in sliding parts.

特徴・独自性
  • Numerical prediction of the wear and seizure locations in the sliding parts of engine piston pins was successfully performed.
  • The bow-like deformation of the piston pin was identified as the cause of mechanical contact and seizure at the connecting rod edge.
  • A three-dimensional multiphase fluid-structure coupled analysis method has been successfully developed, considering the piston pin's elastic deformation and connecting rod and thin-film cavitation1 lubrication with unsteady flow path changes.
実用化イメージ

This research method applies to automotive engines and all sliding component elements using fluid lubrication. It contributes to damage prediction and the development of safety guidelines for transportation and industrial machinery components, enabling the optimal design of components.

Researchers

Institute of Fluid Science

Jun Ishimoto

Development of a reaction process in supercritical water

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特徴・独自性
  • We are developing a new continuous flow type process for supercritical reactions. Under the supercritical state, the organic molecules and metal salt aqueous solutions are miscible and water molecule works as an acid/base catalyst which leads to rapid reactions. In order to apply such new reaction fields to an industrial process, it is necessary to establish the process design basis by understanding phenomena in the reaction fields, on the basis of phase equilibrium, flux and reaction kinetics theory. So while developing a process, we are doing research for the establishment of the process design basis.
実用化イメージ

Examples are a process for the synthesis of organic modified nanoparticles (MPs), a process for the pretreatment and solubilization of biomass in the supercritical/subcritical water and a process for the refinery of heavy oil in the supercritical water.

Researchers

Advanced Institute for Materials Research

Tadafumi Ajiri

newDevelopment of a stromal function chip for reproduction of flow and transport phenomena in microenvironments in vivo.

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概要

Cells comprising biological tissues are surrounded by a structure known as the stroma, and their behavioradapts in response to stimuli generated by flow and transport phenomena. Despite its importance, ourunderstanding of how cells respond to their surrounding microenvironment remains limited, hindering thedevelopment of effective disease prevention and treatment strategies. A significant challenge has been thedifficulty in observing cellular behavior while simultaneously controlling the local culture environment.Although microfluidic devices have become increasingly prevalent in recent years, they have not fullyaddressed the need for comprehensive environmental control. To overcome this limitation, we developed the"stromal function chip," which focuses on three critical environmental factors within the stroma: oxygenconcentration, pH, and interstitial flow. This innovative platform enables precise and rapid manipulation ofthese parameters while facilitating real-time observation of both individual cellular responses and complexcell-cell interactions.

従来技術との比較

Traditionally, stage incubators mounted on microscopes have been employed to maintain culture conditionsduring time-lapse observations of cellular behavior. However, these conventional systems present significantlimitations in actively and rapidly controlling localized changes within the culture microenvironment. Whilerecent advances in microfluidic devices and organ-on-a-chip technologies have enhanced our ability toobserve cellular responses under controlled conditions, these approaches still exhibit considerable constraintsin achieving comprehensive environmental regulation. In contrast, our newly developed chip providesprecise, dynamic, and immediate control over the culture microenvironment during cellular experiments,enabling high-fidelity visualization and quantification of complex cellular dynamics in response to environmental stimuli.

特徴・独自性
  • The stromal function chip features sophisticated architecture comprising cell culture channels with multiplegas channels strategically positioned in vertical alignment above them. Through the controlled delivery ofprecisely mixed gases containing specific oxygen and carbon dioxide concentrations to these gas channels,the chip facilitates gas exchange that enables exquisite regulation of both oxygen concentration and pHwithin the cell culture microenvironment. This approach represents a significant advancement overconventional chemical reaction-based methods, as it eliminates potential cellular toxicity while providinghighly flexible and dynamic control over oxygen concentration and pH. Furthermore, the chip's innovativedesign allows for the precise modulation of interstitial flow—achieved by embedding hydrogel within theculture channels and establishing controlled hydrostatic pressure gradients between inlet and outlet ports. Bysimultaneously manipulating these three critical environmental factors—oxygen concentration, pH, andinterstitial flow—researchers can systematically investigate cellular response mechanisms and characterizehow cells adapt to specific stromal microenvironmental conditions, thereby advancing our understanding oftissue physiology and pathophysiology.
実用化イメージ

By precisely recapitulating the hypoxic and acidic microenvironmental conditions that characterize tumorniches and inflammatory sites, this innovative chip serves as a powerful platform for pre-clinical evaluationof therapeutic efficacy, enabling researchers to determine optimal drug candidates and dosage regimens priorto in vivo studies. Moreover, the system serves as a platform/tool for fundamental medical and biologicalinvestigations, allowing for high-resolution cellular observation and analysis under rigorously controlled andphysiologically relevant culture conditions.

Researchers

Institute of Fluid Science

Kenichi Funamoto

Development of Advanced Device and Process Technologies and New Image Sensors

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特徴・独自性
  • Toward the ultimate performances of image sensors, advanced research activities are being conducted that cover a wide range of technology fields from cleanroom infrastructure, materials, process equipment, process, device, circuit, assembly, signal processing, measurement/evaluation and reliability. Following technologies have been successfully commercialized:
  • A fast and accurate measurement technology of electrical characteristics for over 1 million transistors
  • A wide dynamic range CMOS image sensor technology capturing images over five decade brightness ranges
  • An ultra-fast CMOS image sensor technology with 10 million frames/sec
実用化イメージ

Followings are available for industry collaborators:
A. 200mm-diameter-wafer silicon device fabrication utilizing the ultra-clean facility including wafer mutual fabrication processing between device manufacturers.
B. Process technology development and various kinds of analyses.
C. Development of new image sensors.

Researchers

New Industry Creation Hatchery Center

Shigetoshi Sugawa

newDevelopment of an AI Diagnostic Model for Summarization Skill and Metacognitive Ability in English Listening and Reading Comprehension-Based Summarization

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概要

Having devoted many years to English language education, my primary research interest lies in its pedagogical applications. Writing summaries in English is widely recognized as a crucial academic literacy skill for English language learners. However, English summarization is an exceptionally demanding cognitive skill that proves challenging to acquire, as it requires multiple competencies: summarizing skills, English writing skills, and metacognitive abilities. Consequently, English learners, despite being able to comprehend information in English and mentally organize it, frequently fail to produce high-quality summaries due to constraints in their English writing skills.
Our current research focuses on developing an AI-based diagnostic model designed to assess not only overall English summarization performance but also learners’ underlying summarizing skills and metacognitive abilities based on English summaries produced by Japanese English learners.

従来技術との比較

The development of an AI model that estimates and diagnoses summarizing skills and metacognitive abilities addresses criteria missing in conventional assessment frameworks, and our research, as an interdisciplinary study integrating English education, cognitive psychology, and natural language processing, is expected to make valuable contributions to both educational practice and academic research.

特徴・独自性
  • A distinctive feature of our research is its attempt to define the fundamental nature of summarizing skills more precisely by comparing summaries produced by Japanese English learners in both English and their first language, Japanese, with a particular focus on the presence or absence of barriers related to writing skills.
  • Furthermore, our research prioritizes high authenticity by targeting English source materials that integrate both listening and reading comprehension for summarization tasks. This integrated approach realizes assessment conditions that more closely approximate actual classroom environments and study-abroad learning contexts.
実用化イメージ

The AI-based diagnostic model developed in our study is expected to contribute to the improvement of summary writing instruction in English language education and to reduce teachers’ assessment burden. Teachers will be able to understand the extent to which learners have acquired summarizing skills and how effectively they can utilize metacognitive strategies when they write English summaries, thereby facilitating the provision of more effective instructional strategies and formative feedbacks. Furthermore, in the longer term, the diagnostic data of our study may support the development of online instructional materials incorporating VR (Virtual Reality) avatars, as well as the design of engaging learning environments in which avatars provide both verbal and non-verbal feedbacks at appropriate moments, thereby enhancing learner motivation.

Researchers

Graduate School of Arts and Letters

KATO Makiko

Development of an intranodal administration method

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概要

The response rate of systemic chemotherapy for metastatic lymph nodes is low. This invention presents the optimal values for solvent properties, especially viscosity, in a method for directly administering drugs to lymph nodes (lymphatic drug delivery system). In 2024, a specified clinical study (jRCTs021230040) on lymph node metastasis was started at the Iwate Medical University Hospital Head and Neck Cancer Center.

従来技術との比較

In systemic chemotherapy for metastatic lymph nodes, the amount of drug delivered to the metastatic lymph nodes is small. This is due to the increase in internal pressure caused by tumor growth in the lymph nodes and the disappearance of microvessels caused by the formation of tumor mass. In this invention, we clarified the optimal viscosity range of the solvent for the lymphatic drug delivery system, which directly administers drugs to lymph nodes.

特徴・独自性
  • The amount of anticancer drug required to treat one metastatic lymph node is 1/100 to 1/1000 of the systemic dose.
  • The drug can be administered into the lymph node under ultrasound guidance.
  • An international patent has been filed for the solvent of the administered drug.
実用化イメージ

1. Treatment and prophylactic therapy of affiliated lymph nodes in head and neck cancer, breast cancer, etc.
2. Pharmaceutical companies aiming to develop drugs by drug repositioning and generics
3. Medical device manufacturers aiming to develop a dosing system

Researchers

Graduate School of Biomedical Engineering

Tetsuya Kodama

Development of anti-fibrotic therapies with a cell line from myofibroblasts of fibrotic kidneys

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特徴・独自性
  • There are serious unmet medical needs in kidney diseases. Since fibrosis is a common terminal pathology of various kidney diseases and closely related to renal failure, anti-fibrotic therapies are plausible strategies for kidney diseases. Kidney fibrosis progresses with the emergence of myofibroblasts which produce extracellular matrix. We demonstrated that myofibroblasts originate from renal interstitial fibroblasts, which produce the erythroid growth factor erythropoietin, and that the transformation is reversible. To elucidate mechanisms of kidney fibrosis, we have established a cell line derived from myofibroblasts of mouse kidneys. It has been demonstrated that epigenetic interventions restore the cells (Replic cells) to their original fibroblastic features.
実用化イメージ

Replic cells provide useful and precise strategies to identify anti-fibrotic drugs.

Researchers

New Industry Creation Hatchery Center

Norio Suzuki

Development of Atom-scale Spectroscopy Measurement for Nano Materials

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特徴・独自性
  • Scanning tunneling microscope (STM) and atomic force microscope (AFM) are among a few microscopes which enable a direct observation of atomic scale structures of materials. If compared with other electron microscope like transmission electron microscope (TEM), the energy of the electron used for STM is very low that has a big advantage of low damage for sample. Thus STM and AFM are regarded as the most important tools to characterize materials in nanotechnology. The research is now developing from a mere observation of the shape of material to the characterization specific properties of materials with an atomic scale resolution. These properties include spin and molecule vibration; well established techniques like ESR/NMR and infrared-spectroscopy requires more than billions of molecules to obtain data, while STM can obtain these data for a single molecule.
  • We are interested following issues and like to have a collaboration with industrial companies.
  • 1. Molecule-scale morphological characterization of soft-material, polymers and bio material.
  • 2. Site specific vibration spectroscopy of molecules with an atomic resolution.
  • 3. Single spin detection with ESR-STM method
  • 4. Developing atom-scale characterization tool
実用化イメージ

Researchers

Institute of Multidisciplinary Research for Advanced Materials

Tadahiro Komeda

Development of Biomedical Micro/Nano Integrated System Using LSI Technology

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特徴・独自性
  • Semiconductor neural engineering is a discipline that uses semiconductor process/device/circuit technologies to further understand properties of neural systems and to create novel fusion systems of living body and machine.
実用化イメージ

One of the goals in this laboratory is to establish semiconductor neural engineering and develop biomedical micro/nano integrated systems.
Another goal is to educate the next generation of leaders in biomedical engineering through research including:
1. Intelligent Si neural probe and biomedical signal processing LSI
2. Fully-implantable retinal prosthesis system
3. Bio/nano technology and novel Bio-FET sensor
4. 3-dimensional integration technology and analog/digital LSI design

Researchers

Graduate School of Biomedical Engineering

Tetsu Tanaka

Development of Compound Semiconductor Radiation Detectors

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特徴・独自性
  • The main research subject of our group is developing material purification methods, crystal growth methods and detector fabrication technologies for compound semiconductor radiation detectors. Our group intensely studies a compound semiconductor, thallium bromide (TlBr), for fabrication of gamma-ray detectors for the advanced radiation applications. The attractive physical properties of TlBr lie in its high atomic number (Tl: 81, Br: 35), high density (7.56 g/cm3) and wide bandgap (2.68 eV). Due to the high atomic number and high density, TlBr exhibits high photon stopping power. The wide bandgap of TlBr permits the device low-noise operation at and above room temperatures.
実用化イメージ

Our group focuses on development of compound semiconductor radiation detectors for advanced radiation applications including ultra-high resolution PET systems, ultra-high resolution SPECT systems, photon counting CT systems and Compton cameras. We hope to conduct collaborative research with a willing company for a practical application of this technology in industry.

Researchers

Graduate School of Engineering

Keitaro Hitomi

Development of devices regulating inter-organ neural network for diabetes therapy

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特徴・独自性
  • Diabetes induces several complications, including retinopathy and nephropathy. In patients with type 1 diabetes as well as those with type 2 diabetes, pancreatic beta cells have reportedly decreased. Therefore, regeneration therapy of pancreatic beta cells may be very effective for major populations of diabetic patients. We discovered a neuronal network, from the liver, which selectively elicits pancreatic beta cell proliferation (Science 2008, Fig.). In a murine model with insulin-deficient diabetes, stimulation of this network improved diabetes. Thus, building devices which regulate the inter-organ neuronal network may lead to “regenerative therapy” for diabetes which regenerates pancreatic beta cells in the pancreas using patients’ own cells and patients’ own systems. We hope to conduct collaborative research with a willing company for a practical application of this technology.
実用化イメージ

Researchers

Graduate School of Medicine

Hideki Katagiri