Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 Period

Medicine and Health
Unit
Goals for 2030:
Accelerate social implementationby collaborating with the humanities
and social sciences, leveraging
integrative knowledge throughdigital transformation (DX)

Precision Drug
Discovery Group
Goals for 2030:
Develop disease panel testing
technology and innovate drugs
that contribute to precision
medicine

2028

2029

2030

2040

Fifth Medium-Term Objectives for the 2028–2033 Period

Goals and Vision
In an aging society with a very low birth rate, the realization of a safe and healthy society—which must include countermeasures against declining birth rates, extending healthy life
expectancy, improving labor productivity, and coping with future infectious diseases—requires not only social implementation of individual medical and health research findings but also
strategies that take into account how social transformation can be driven through digital transformation (DX). The university’s DX strategy will help us execute initiatives forcommercialization and social implementation, including the discovery and transfer of medical seed research and the implementation of high-quality clinical research and clinical trials,
focusing on the three areas of disease prediction and early detection, maintenance of physical function, telemedicine, and precision medicine and innovative treatment. We will also
promote the social implementation of research findings by working closely with Fukuoka City, which has been designated a National Strategic Special Zone to attract global businessstartups and job creation.

Unit meetings held as necessary for goal sharing, strengthening cooperation, sharing issues, progress reports, etc.
● Group Initiatives

Develop disease panels● Project Initiatives

Develop innovative drugs that contribute to precision medicine
Establish medical infrastructure technology in collaboration with other units
Promote green pharma research that contributes to precision medicine
Promote eco-pharma drug discovery through collaboration with the fields of pharmaceutical informatics and computational science
Develop vaccines and drugs with fewer side effects for the treatment of severe infections and any subsequent effects

Develop precision drug discovery technologies that contribute to the One Health initiative
Develop panel tests for cancer patient stratification
Collect basic data for disease panel development
Develop technology to improve the efficiency of patient data collection using artificial intelligence

Develop disease panels based on the five senses
Collect basic data for disease panel development
Elucidate the activation mechanism for the sensors of the five senses using molecular dynamics simulations
Promote green pharma synthesis research that contributes to precision medicine

Social implementation of covalent drug discovery for cancer and infectious diseases
Launch covalent drug discovery ventures
Identify novel cancer therapeutic targets using functional genomics methods
Identify chemical probes through DNA-encoded library (DEL) screenings
Develop new highly sensitive blood cancer panel testing
Develop new evaluation methods for tumor immunity
Discover and develop clinical applications for tumor antigens as T-cell targets

Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 PeriodHigh Depth Omics Group
Goals for 2030:
Disease prediction and early
detection through thedevelopment of single-cell multiomics analysis technology,
among other methods

We will transform science, industry,and society by expanding panomics, which integrates
measurement science, data science,computational science, andmathematical science, across allacademic fields.
Promote joint collaborative research aimed at elucidating the mechanisms of
biological defense systems and diseases triggered by the failure of thosesystems based on multilevel biological information obtained from omics data.
Form a research network between four domestic research centers to realize
in-depth omics research that acquires and integrates big data from single-cellomics and single molecular structures.
Promote the use of the three cryogenic electron
microscopes on Maidashi Campus (one at the
Medical Institute of Bioregulation and two at theFaculty of Pharmaceutical Sciences) toresearchers both in and outside of Kyushu
University for the structural analysis of proteinsupramolecular complexes.
Support the establishment of essential computational resourcesand environments for omics data analysis. As part of activity of
the Information, Technology Development Research Center,work to promote problem solving in the Medical Biology
Research Group.
Promote genomics
Support the establishment of essential computational resources and environments foromics data analysis, and as part of the activities of the Research Institute forInformation Technology, facilitate problem-solving within research groups of theSection of Medical Biology.

2028

2029

2030

2040

Fifth Medium-Term Objectives for the 2028–2033 Period● Group Initiatives

Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 Period

Medical Information
Group
Goals for 2030:
Integration of activities anddistribution roles while
forecasting future trends toward
the digital transformation (DX) of
medicine and health care

Share information and collaborate for coordinating initiatives
Develop and expand LHS infrastructure (including
clinical pathways and clinical trial systems) for
electronic health records

2028

2029

2030

2040

Fifth Medium-Term Objectives for the 2028–2033 Period

Integrate activities for the development and application of DX-based social healthcare services

Implement genomic medicine and digital health(mPHRs and treatment apps) into LHS infrastructure● Group Initiatives● Project Initiatives

Incorporate open science practices into LHS
infrastructure and implement LHS into international
telemedicine systems
Advance our Open Science Platform, establishing asolid foundation for open science in both hospitals
and engineering research institutes

Further integrate with the Open Innovation Platforms andbroaden the scope of activities
Promote research on digital health, including
telemedicine and personal health records (PHR), both
domestically and internationally, aiming for
implementation at Kyushu University Hospital

Realize true precision medicine byincorporating various cohort studies,
omics data, and knowledge inprecision drug discovery

Develop telemedicine systems and digital healthsolutions capable of responding to emergencies suchas disasters and pandemics
Develop our Portable Health Clinic (PHC) system, adigital health service package for developing
countries, for expansion in countries across Asia

Extend the reach of the Portable Health Clinic (PHC) beyond
Asia, enrich its content, and establish a viable business modelGroup for Social
Transformation Through
Data Science
Goals for 2030:
Contribute to health care andhealth administration throughdata analysis of regional cohorts
and health databases

Develop predictive algorithms for the onset of lifestyle diseases, dementia, conditions requiring nursing care, and oral diseases, identifying corresponding biomarkers

Investigate the reality of health issues in local communities and make recommendations for health policies
Leverage cohort data to develop an algorithm to predict the onset of lifestyle-related diseases, dementia, and conditions requiring nursing care
Identify biomarkers associated with the onset of dementia
Leverage cohort data to Identify the genetic risk factors for lifestyle-related diseases and dementia
Develop a predictive model that integrates the identified genetic risks with a previously developed environmental factor-based predictive algorithm
Leverage cohort data to Identify risk factors for oral diseases and develop a predictive algorithm
Leverage cohort data to perform an analysis of the oral microbiome associated with oral diseases
Investigate health issues in Fukuoka City using residents’ medical, health checkup, and nursing care data and follow up with health policy
recommendations
Conduct data-driven clinical epidemiological studies based on Rezept data managed by local governments and make health policy recommendations

Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 Period

Stem Cell Regulation
Group
Goals for 2030:
Realizing regenerative medicine
through stem cell application

2028

2029

2030

2040

Fifth Medium-Term Objectives for the 2028–2033 Period

Establish a foundational database for stem cell regulation● Group Initiatives

Develop technology for reverse induction from stem cells● Project Initiatives

Develop regenerative therapies for specifically targeting certain diseases
Create a genetic database aimed at elucidating the developmental basis of oral
tissue formation
Replicate rare disease models and elucidate their onset
mechanisms using mesenchymal stem cells
Develop disease therapies using mesenchymal stem cells
Develop regenerative medical technologies using stem cell-derived exosomes
Develop bio-implants with functionality equivalent to that of natural teeth
Develop a treatment for stroke using direct
differentiation
Elucidate the mechanism behind cell-specific differentiation failure in humans andcreate ways to counteract it
Elucidate the common principles behind the onset of psychiatric and neurological diseases caused by inflammation and cellular aging
Develop a treatment for age-related hearing loss centered around the spiral ganglion
Generate human-induced liver progenitor cells that can be leveraged for
medical treatments and drug discovery
Develop treatments for liver diseases that utilize liver regeneration

Implement medical treatment and drug discovery practices thatuse direct reprogramming

Develop a cell culture technology to enhance the therapeutic effect ofmesenchymal stem cells
Develop cell culture substrates for the functional activation ofregenerative medicine cells
Establish an in situ quality control and evaluation monitoring culture system for therapeutic cells and cell production
Construct an omics database for human cancer stem cells
and use it to derive therapeutic target molecules
Elucidate the molecular foundation necessary for cancer stem cell transformationby comparing human cancer stem cells with normal tissue stem cells
Build a therapeutic model targeting human cancer stem cells
Mechanism of organ fate determination through epithelial-mesenchymal interactions
Development of organ regeneration technology using organ fate transformation models
Development of dental regeneration technology
Identify factors that maintain hematopoietic stem cell function and elucidate their actions.
Functional elucidation and therapeutic application of niche factors produced by mesenchymal stem cells
Development of tissue stem cell function regeneration technology based on the mechanism of functional
maintenance of the stem cell niche
Development of methods for functional regeneration of aged tissue stem cells

Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 Period

Neuroscience Group
Goals for 2030:
Development of a prediction
system for the onset ofneurological and psychiatricdisorders in a society withlongevity and the establishmentof a personalized treatment
systemIdentification of pathogenic
mechanisms and responsible
circuits for developmental
disorders and psychiatricdisorders
Understanding individuality anddiversity in brain function andcreating an inclusive society
Elucidation of the principles ofbrain computation andintegration with AI
Establishment of breakthroughtechnology targeting brain
immunity for the formation andmaintenance of healthy brains

2028

2029

2030

2040

Fifth Medium-Term Objectives for the 2028–2033 Period

Progress management of initiatives based on the implementation plan

● Group Initiatives● Project Initiatives

Development of a system for predicting the onset of multifactorial diseases in the field of neurological diseases
Conceptualization of personalized treatment and treatment optimization strategies in multifactorial diseases in thefield of neurological diseases
Toward the implementation of personalized treatment and treatment optimization
strategies in multifactorial diseases in the field of neurological diseases
Development of a system for predicting the onset of multifactorial diseases in the field of psychiatric disorders
Conceptualization of personalized treatment and treatment optimization strategies in multifactorial diseases in thefield of psychiatric disorders
Toward the implementation of personalized treatment and treatment optimization strategies in
multifactorial diseases in the field of psychiatric disorders
Advance understanding of the molecular basis of neuropsychiatric disorders by using humandisease model cells such as human blood-derived microglia-like (iMG) cells.

Development of a prediction system for the onset of multifactorial diseases in the field of stress-related diseases
Conceptualization of personalized treatment and treatment optimization strategies in multifactorial diseases in thefield of stress-related diseases
Toward the implementation of personalized treatment and treatment optimization strategies in
multifactorial diseases in the field of stress-related diseases
Multi-scale understanding of the developmental process of normal brain circuits using transparency techniques and optical
microscope connectomics
Comprehensive analysis of the process of circuit development using models of developmental disorders andpsychiatric disorders to identify the responsible circuits
Functional classification of organ sensation and neural circuits responsible for gut-brain correlation using
in vivo imaging
In vitro reconstructive systems and mathematical principles of neural circuit development, memory
and learning processes

Accelerate multifaceted research centered on high-depth omics analysis technology to gain an integrated understanding of themechanisms of normal brain formation and maintenance, with brain immunity as a starting point.
Integrated understanding of the pathogenesis of central nervous system diseases through brain immunity

Roadmap for the Medicine and Health Unit
Integrated Initiative for Designing Future Society
AY2022

2023

2024

2025

2026

2027

Fourth Medium-Term Objectives for the 2022–2027 Period

2028

2029

2030

Fifth Medium-Term Objectives for the 2028–2033 Period● Group Initiatives

Group for the Future of
Medicine
Goals for 2030:
・Collaborate with the Open
Innovation Platform (OIP) andleverage integrativeknowledge・Resolve the social and ethicalissues of future medicine
through forecasting by aproblem-solving panel andmake recommendations on
the economic rationality andsustainability of future
medicine through forecastingby a recommendations panel
・Establish processes thatenable us to continually solve
problems and makerecommendations in the
future2040● Project Initiatives

Oversee progress of initiatives based on action plans
Prepare and build infrastructure while preparing for collaboration with the OIP
Establish processes that enable us to continually solve problems and makerecommendations in the future

Prepare, launch, and establish a planning panel and commence the development of action plans for group initiatives

Prepare, launch, and establish a problem-solving panel Consider processes for drafting proposals and building consensus
Draft problem-solving proposals and commence the development of action plans for group initiatives

Prepare, launch, and establish a recommendations panel, Consider processes for drafting proposals and building consensus
and begin drafting recommendations

List of Group Initiatives
February 14, 2023
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akaishi
Group Leader Name: Motohiro NishidaGroup Name

Goal

Project Manager
Affiliation

Position

Name

Action Item 1

Action Item 2Group-wide:
Develop disease panels

Goal for 2030: Develop disease
panel testing technology andinnovate drugs that contribute toprecision medicine.

(Initiative Period: 2022–2029)

Precision Drug Discovery(Evaluation) Project:

Goal for 2030: Develop innovative
drugs that contribute to precision
medicine

Faculty of
Pharmaceutical
Sciences

Professor

Motohiro
NishidaPromote green pharma researchthat contributes to precision
medicine(Initiative Period: 2022–2028)

Develop innovative drugs that
contribute to precision medicine(Initiative Period: 2022–2030)

Promote eco-pharma drug
discovery through collaboration
with the fields of pharmaceuticalinformatics and computational
science(Initiative Period: 2023–2030)

Cancer Stratification Project:

Goal for 2030: Develop patient
stratification panels for reducing theside effects of chemotherapy

Faculty of
Pharmaceutical
Sciences

Professor

SatoruKoyanagi

Disease Panel Development
Project:

Precision Drug
Discovery

Goal for 2030: Develop predictive
panels for pre-disease conditions

Faculty of Dental
Science

Professor

Noriatsu
Shigemura

Precision Drug Discovery(Synthesis) Project:

Goal for 2030: License covalent
drugs to pharmaceutical companies
for enabling the treatment of
infectious diseases and cancer

Faculty of
Pharmaceutical
Sciences

Professor

Akio Ojita

Functional Genomics Drug
Discovery Project:

Goal for 2030: Establish a pathway
for identifying chemical probes fromfunctional genomics

Faculty of Medical
Sciences

Professor

Takahiro
Maeda

Personalized Tumor Immunotherapy
Project:

Goal for 2030: Develop novel
personalized cancer therapies byactivating tumor immunity tailored toeach type of cancer

Faculty of Medical
Sciences

Professor

ShinichiMizunoDevelop panel tests for the
stratification of cancer patientsCollect basic data for disease
panel development(Initiative Period: 2025–2029)(Initiative Period: 2022–2026)

Develop disease panels based on
the five senses

Collect basic data for disease
panel development(Initiative Period: 2026–2030)(Initiative Period: 2022–2027)

Promote green pharma synthesis
research that contributes toprecision medicine

Social implementation of covalent
drug discovery for cancer andinfectious diseases(Initiative Period: 2022–2025)(Initiative Period: 2025–2030)

Identify novel cancer therapeutictargets using functional genomics
methods

Identify chemical probes throughDNA-encoded library (DEL)
screenings(Initiative Period: 2022–2030)(Initiative Period: 2023–2030)

Develop new evaluation methods
for tumor immunity

Discover and develop clinicalapplications for tumor antigens as
T-cell targets(Initiative Period: 2022–2030)(Initiative Period: 2022–2030)

Action Item 3

Establish medical infrastructuretechnology in collaboration withother units

Action Item 4－

Action Item 5－(Initiative Period: 2026–2030)

Develop vaccines and drugs withfewer side effects for the treatment Develop precision drug discoveryof severe infections and any
technologies that contribute to the
One Health initiative
subsequent effects(Initiative Period: 2023–2028)(Initiative Period: 2022–2026)－

https://www.rdctos.kyushuu.ac.jp/en/
https://www.dent.kyushuu.ac.jp/sosiki/a06/index(eng).ht
ml(Initiative Period: 2022–2030)(Initiative Period: 2023–2025)

Develop new highly sensitive bloodcancer panel testing(Initiative Period: 2022–2027)

https://www.phar.kyushuu.ac.jp/green-pharma/(Japanese)
https://physiology.phar.kyushuu.ac.jp/ (Japanese)
https://bunseki.phar.kyushuu.ac.jp/index-e.html

Promote clinical data analysis in https://glocal.phar.kyushucollaboration with the hospital’s u.ac.jp/
Department of Pharmacy

Elucidate the activation mechanism
for the sensors of the five senses
using molecular dynamics
simulations

Launch covalent drug discovery
ventures

Project URL

Collaborate with the OIP topromote intellectual property
creation and technology
transfers from our researchfindings

Collaborate with the OIP topromote intellectual property
creation and technology
transfers from our researchfindings(Initiative Period: 2024–2030)

Develop technology to improve theefficiency of patient data collection－
using artificial intelligence

Collaborations (e.g., Other
groups, other units, DDIn2)

Drive the commercialization ofcovalent drug discovery incollaboration with Fukuoka
Biocommunity

https://bunseki.phar.kyushuu.ac.jp/index-e.html

Implement a blood cancer
biobank and genetic panel tests
https://precision.kyushuin collaboration with Kyushu
u.ac.jp/en/
University Hospital’s Center for
Cellular and Molecular Medicine

https://www.shs.med.kyushuu.ac.jp/EN/index.html

Medicine and HealthPrecision Medicine Initiative (PMI) : Promoting Precision Drug Discovery
Regional collaboration with Kyushu/West Japan PMI centered on research for academic drug discovery and development ofdisease panel testing at Kyushu University
Collaborate with world-leading centers and pharmaceutical companies

2022

2025

2028

Develop Disease Panel Testing
Utilize new
information
technologies
grounded indata analysis
On-site collaboration at
Maidashi Hospital Campus

Academic drug
discovery
Patient-friendly drug discovery that explores newpharmacological mechanisms of action of alreadyapproved drugs

Eco-Pharma

Environmentally friendly chemical synthesis
technologies

Green Chemistry

Screening Compound Discovery

Hit Compound Optimization

Kinetic analysis of hit
compounds in animals

Protein Interaction Analysis
Characterizing interactions between
hit compounds and proteins

Analysis of Disease Models(Cancer, inflammation, chronic pain and itching,coronary circulation, etc.)

Kyushu University
Hospital, Faculty ofAgriculture, Facultyof Medical Sciences,etc.

Greenpharma Research Center
for System Drug Discovery
Faculty of Pharmaceutical Sciences (launched in 2015)

Sophisticated Synthesis
Technology

Aiming for large-scale synthesis of drugcandidates using Kyushu University's uniqueflow synthesis system

Kyushu University’s Novel Approach: Academic Drug Discovery

Green Pharma Research Institute

AMED *NIBIOHN
NIPS
AIST

Uniting the university to rapidly bring new therapeutics to market!
* Japan Agency for Medical Research and Development (AMED), National Institute of Biomedical Innovation (NIBIOHN),
National Institute for Physiological Sciences (NIPS), National Institute of Advanced Industrial Science and Technology (AIST)

Greenpharma research(medicine)Technology
development for
disease panel testing2030 年
2019Create center for precision
drug discovery
Faculty of Pharmaceutical Sciences

Protect intellectual
property of researchfindings andsupportcommercialization
Expand appropriate
use of approved drugs
AI-based drug
discovery and new
drug creation throughin silico prediction

Contribute toprecision medicine
and innovative
treatments

Future Initiatives
Apply cancer genome medicine
to preventive treatments
Liquid biopsies
Utilize CHIP panel tests, etc.

Promote comprehensive
precision drug development
This facility will consolidate
drug development technologies
at Kyushu University and beable to organically combine andutilize big data and disease
panel testing analysis

Reverse precision drug discovery
using medical big data

Precision drug discovery
pharmacists

Train experts in precision drug
discovery and the development ofdisease panel testingList of Group Initiatives
June 20, 2024
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akaishi
Group Leader Name: Yasuyuki Ohkawa

Group Name

Goal

Project Manager
Affiliation

Position

Action Item 1

Name

Action Item 2

Action Item 3

Action Item 5

Action Item 4

Collaborations (e.g., Other
groups, other units, DDIn2)

Project URL

Group-wide:
Goal for 2030: Disease
prediction and early detection
through the development of
single-cell multi-omics analysis
technology, among othermethods－

High Depth Omics-Related
Project:

Jointly promote one of theaforementioned projects as agroup.

Medical Institute of
Bioregulation

Medical Institute of
Bioregulation

Professor

Professor

Yasuyuki
Ohkawa

Kenji
Inaba

High Depth
Omics

－

－

We will transform science, industry, andPromote joint collaborative research aimed
society by expanding pan-omics, which
Form a research network between fourat elucidating the mechanisms of biologicaldomestic research centers to realize inintegrates measurement science, data
defense systems and diseases that are
depth omics research that acquires andscience, computational science, andtriggered by the failure of those systems
integrates big data from single-cell omics
mathematical science, across all academic
based on multilevel biological informationand single molecular structures. In
fields. In accordance with the generalobtained from omics data. In accordance
accordance with the budget request forbudget request for FY2020, steps havewith the budget request for FY2022, steps
FY2022, steps have been taken for the
been taken for the organization of the Panhave been taken for the organization of theorganization of the Research Center for
Omics Data-Driven Research Innovation
Research Center for the Multi-Stratified
the Multi-Stratified Host Defense System.
Center as a universal omics measurement
Host Defense System.
and computational science center.
(Initiative Period: 2022–2027)(Initiative Period: 2022–2027)(Initiative Period: 2019–2024)
Promote the use of the three cryogenic
electron microscopes on Maidashi
Campus (one at the Medical Institute of
Bioregulation and two at the Faculty of
Pharmaceutical Sciences) to researchers
both in and outside of Kyushu University
for the structural analysis of proteinsupramolecular complexes.

－－

Use genome editing technology
in collaboration with the
http://clam.cc.kyushu-u.ac.jp/en/
Environmental and Food Unit to https://www.bioreg.kyushudevelop intervention approaches u.ac.jp/mib/activities_collabo_j.html (Japanese)for diseases Drive innovation
https://www.bioreg.kyushufocused on thecommercialization and licensing u.ac.jp/mib/activities_collabo_Hiof our unique omics technology ghDepthOmics_j.html(Japanese)in collaboration with the Think
Tank Unit

http://vsb.bmr.kyushuu.ac.jp/VSB/en/index.html(Initiative Period: 2024–2027)

Medical Institute of
Bioregulation

Professor

Masao
Nagasaki

Promote genomics, provide essential
computational resources, and support the
infrastructure for omics data analysis.
Facilitate the resolution of computational
challenges in medical and biologicalresearch.

https://nagasakilab.csml.org/(Initiative Period: 2023–2027)

Medical Institute of
Bioregulation

Professor

TakeshiBamba

Promote joint collaborative research aimed
at elucidating the mechanisms of biologicaldefense systems and diseases that are
triggered by the failure of those systems
based on multilevel biological information
obtained from omics data. In accordancewith the budget request for FY2022, steps
have been taken for the organization of the
Research Center for the Multi-Stratified
Host Defense System.

http://bamba-lab.com/(Japanese)(Initiative Period: 2022–2027)

Research Institute for
Associate
Information Technology Professor

TakeshiNanri

Support the establishment of essential
computational resources andenvironments for omics data analysis, andas part of the activities of the ResearchInstitute for Information Technology,
facilitate problem-solving within researchgroups of the Section of Medical Biology.
(Initiative Period: 2022–2027)

https://hyoka.ofc.kyushuu.ac.jp/search/details/K000018/
english.html

Medicine and Health

Understanding life phenomena and disease onset through high-depth
omics research
Objectives

This project aims to forge a network of core centers across Japan to develop technologies,
train personnel, and create a research platform for world-leading research in high depth omics

Structure

Action Items● Develop world-leading single-cell omics analysis technologies, establish a domestic network of research centers,
integrate the strengths of each center's research methods, and construct and provide a disease single-cell atlas for a
dynamic understanding of life phenomena and disease onset● Share acquired technologies among participating centers and establish a research platform for their practical application● Utilize the benefits of the network to foster human resources through hosting joint symposiums, exchanging anddispatching researchers, and conducting technical workshops, among other activities. In particular, train researchers at
each center who are able to undertake integrated analyses of high depth omics data and strategically promote thedevelopment of human resources in the fields of mathematics and bioinformatics● As a research center for high depth omics, make globally available the technologies, facilities, and databases that aredeveloped

Outline and Future of ResearchHigh Depth Omics Medical
Research Center

Conventional omics research

Greater Depth and Dynamic Analysis
Dynamic NMR
Protein
Cryo-EMRNA• Kyushu University• Medical Institute of
Bioregulation• Faculty of Medical
Sciences• Research Institutefor Information
Technology• Pan-Omics Center

Vs.

Metabolomics

Average imaging of cell populations

Proteomics

High depth omics research

Transcriptomics

Epigenome

Epigenomics

GenomeGenomics
Molecular
Complex

Individual
Cell

Organs and Cell
Populations

Organism

Build a single-cell atlas of diseases tomeasure and predict dynamic changes
in cellular states through enhanced
high-depth measurements

Tokyo Medical
and Dental
University
Kumamoto
University
Tokushima
University

Collaboration/
Cooperation• The University of Tokyo• Kyoto University• Tohoku University• Osaka University• RIKEN• National Cancer Center, etc.

Outputs

Ripple effects

Information on dynamic single-celltranscriptomes and epigenomes

Overcome intractable diseases,
including infectious diseases,
lifestyle diseases, and cancer

Move closer to understanding andregulating pathological conditions
through the construction of asingle-cell atlas of diseases

Integrate genome data ofJapanese people with pathologicalconditions at a cellular level

Train experts in mathematics andbioinformatics capable of handlinghigh depth omics data integration

Move closer to the advancementof personal medical care and therealization of regenerative
medicineList of Group Initiatives
February 14, 2023
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akaishi
Group Leader Name: Naoki Nakashima

Group Name

Goal

Project Manager
Affiliation

Position

Name

Action Item 1

Action Item 2

Action Item 3

Action Item 4

Action Item 5

Collaborations (e.g., Other
groups, other units, DDIn2)

Project URL

Group-wide:
Share information andcollaborate for coordinating
initiatives(Initiative Period: 2022–2025)

Goal for 2030: Integrate
activities and distribution roles
while forecasting future trends
toward the digital transformation(DX) of medicine and healthcare
LHS Infrastructure Creation
Project:

Goal by 2030: Expand anddevelop small-scale LHS
infrastructure across theuniversity

Medical Information
Group

Professor
Medical Information
Center, Kyushu
University Hospital
Lecturer

Naoki
Nakashima Develop and expand LHS
infrastructure (including clinicalpathways and clinical trial
systems) for electronic healthrecords(Initiative Period: 2022–2024)
Takanori
YamashitaOpen Science Project:

Goal by 2030: Introduce open
science practices to efficiently
create scientific services tailored
to meet specific needs.

Department of Applied
Chemistry, Faculty ofEngineering

Professor

Goal by 2030: Promote digitaltransformation (DX) using
international telemedicine anddigital health

Associate
Professor－－

Collaborate with the Healthcare
DX Innovation Division of theData-Driven Innovation Initiative

https://e-path.jp (Japanese)
Implement genomic medicine
and digital health (PHRs andtreatment apps) into LHS
infrastructure(Initiative Period: 2025–2027)

Incorporate open science
practices into LHS infrastructure
and implement LHS into
international telemedicine
systems(Initiative Period: 2025–2027)

Realize true precision medicine
by incorporating various cohort
studies, omics data, andknowledge in precision drug
discovery(Initiative Period: 2028–2030)－

Aim to establish a foundationthat considers ELSI (Ethical,
Legal, and Social Implications)in collaboration with the Futureof Medicine Group (yet to be
implemented)

https://cos3.med.kyushu-u.ac.jp/(Japanese)

https://www.chem.kyushuu.ac.jp/~cstm/healthtech/

YoshikiKatayama

Further integrate with the Open
Innovation Platforms andbroaden the scope of activities(Initiative Period: 2023–2026)

TomohikoMoriyama

Promote research on digital
health, including telemedicine
and personal health records(PHR), both domestically andinternationally, aiming for
implementation at Kyushu
University Hospital(Initiative
Period: 2022–2024)

Develop telemedicine systems
and digital health solutions
Integrate into thecapable of responding toaforementioned LHS
emergencies such as disasters
Infrastructure Creation Projectand pandemics(Initiative Period:
2022–2024)

Ashir
Ahmed

Develop our Portable Health
Clinic (PHC) system, a digital
health service package fordeveloping countries, for
expansion in countries across
Asia(Initiative Period: 2022–2024)

Extend the reach of the Portable
Health Clinic (PHC) beyond
Integrate into theAsia, enrich its content, andaforementioned LHS
establish a viable business
Infrastructure Creation Projectmodel(Initiative Period: 2023–2026)

Developing Country Medical DX
Project:
Faculty of Information
Science and Electrical
Goal by 2030: Deploy healthcare Engineering
services globally using digital
health to promote digitaltransformation (DX)－

Advance our Open Science
Platform, establishing a solid
foundation for open science inboth the Kyushu University
Hospital and Faculty ofEngineering(Initiative Period: 2022–2024)

Telemedicine DX Project:
Telemedicine
Development Center of Associate
Asia, Kyushu University Professor
Hospital

Integrate activities for thedevelopment and application of
DX-based social healthcare
services(Initiative Period: 2026–2030)

Integrate into theaforementioned LHS
Infrastructure Creation Project

－

－

－

－

Continue to make progress withpositioning ourselves as an OIP https://www.chem.kyushuu.ac.jp/~cstm/laboratory/laborato
ry_336.php (Japanese)－

https://www.temdec.med.kyushu
Continue to make progress in-u.ac.jp/eng/
collaboration with the ResearchInstitute for Information
Technology, the Graduate
School of Information Science
https://portablehealth.clinic/
and Electrical Engineering, andthe QAOS－

Continue to make progress incollaboration with Kyushu
University Hospital’s
International Medical
Department and the QAOS aswell as the Grameen Group of
Bangladesh and other partners
across Asia and Africa

https://portablehealth.clinic/

Medicine and HealthOpen medical science grounded in Learning Health System (LHS)
Implement LHS for data-driven clinical research and education and accumulate knowledge across multiple fields

2022Electronic Medical
Record LHS

2025
Disease-specific LHS
foundation- 10 hospitals, 100 diseases- 4 hospitals, 8 diseases - Genome Medicine
Infrastructure Collaboration- Distributed Clinical
Trials (in cooperation- Digital Healthwith ARO)
Collaboration

Japan-style open
science platform(Hospital andEngineering Cooperation)

Development oftelemedicine
education, medical
checkups andmedical services
with a focus on
Asia (TEMDEC,

Portable Health Clinic)

Collaboration with
open innovation
platforms(Collaboration among all
universities, businesses,
and government)

Deployment todomestic andinternational
telemedicine anddisaster medical

systems (TEMDEC,
Portable Health Clinic,
QAOS, emergency
medicine)

2027

2030 年
2019Integrated LHS
infrastructure
construction

Establish Comprehensive Toward Next Generation Data
Health Research
LHS Center- Integration with Phenome,
Genome and Exposome- AI development with
National Medical Information
Platform- Strengthening Partnerships
with Patients and Citizens by
Mobile Health- Establishing a system forutilizing data inpharmaceutical applications Strategically manage and leverage theand its utilization in bothcomprehensive collection of data
corporate and academic
derived from the health and medical
settings
data science initiatives at Kyushu- Establishing the
University
Foundation for Expanding
Japanese Technology and
Restructuring
Talent Overseas
the whole- Technological Development
activities of thefor Constructing andMedicine andIntegrating These in the LHS
for Unified Management
Health Unit

Future Initiatives●Delegation of Information Sovereignty to
Patients and Citizens●Realization of DX (Digital Transformation)using Digital Health in Japan's Super-Aged
Society and Enhancement of Well-Being●Resilient Healthcare Information System
Unshakeable Even in Emergencies (Disasters,
Pandemics, etc.)●Global Contribution and Industrial
Promotion through Development in
Developing Countries●Cultivation of Professionals Well-Versed inDigital Health, Global Health, LHS, and ELSI
(Ethics, Legal, Social Issues)

List of Group Initiatives
July 20, 2022
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akashi
Group Leader Name: Toshiharu Ninomiya

GoalGroup Name

Project Manager
Affiliation

Position

Name

Develop predictive algorithms forthe onset of lifestyle diseases,
dementia, conditions requiring
nursing care, and oral diseases,
identifying corresponding
biomarkers

Group-wide:

Goal for 2030: Contribute to health careand health administration through data
analysis of regional cohorts and healthdatabases(Initiative Period: 2022–2030)

A: Disease Prediction Algorithm
Development Project

Goal for 2030: Develop algorithms topredict the onset of situations requiring
nursing care, dementia, and lifestylediseases
B: Dementia Biomarker Discovery
Project

Goal for 2030: Identify biomarkers
associated with the onset of dementia

Department of Hygiene andAssociate
Public Health, Faculty ofProfessor
Medical Sciences

Jun Hata

Department of Psychiatry,
Kyushu University Hospital
Department of Neurology,
Kyushu University Hospital

LecturerTomoyuki
Ohara

Department of Ophthalmic
Pathophysiology andImaging, Graduate Schoolof Medicine

Lecturer

MasatoAkiyama

D: Oral Disease Prevention Project

Goal by 2030: Develop an algorithm topredict the onset of oral diseases

Action Item 2

Investigate the reality of healthissues in local communities andmake recommendations for healthpolicies

Section of Preventive andPublic Health Dentistry,
Faculty of Dental Science

Associate
Professor

Toru
Takeshita

Leverage cohort data to develop an
algorithm to predict the onset oflifestyle-related diseases, dementia,
and conditions requiring nursingcare

E: EBPM Project 1
Center for Cohort Studies,
Goal by 2030: Practice evidence-based
Faculty of Medical Sciences Associate
policy making (EBPM), considering the(Ongoing since OctoberProfessor
circumstances of health issues using2022)
health data from local governments andmaking recommendations for healthpolicies

Takanori
Honda

Associate
Professor－

Project URL

Collaborations include the following:

Develop a predictive model that
Leverage cohort data to Identify the integrates the identified genetic risks
genetic risk factors for lifestylewith a previously developed
related diseases and dementia
environmental factor-based
predictive algorithm(Initiative Period: 2022–2030)(Initiative Period: 2022–2030)
Leverage cohort data to Identify risk Leverage cohort data to perform an
factors for oral diseases andanalysis of the oral microbiome
develop a predictive algorithm
associated with oral diseases(Initiative Period: 2022–2030)

We have performed SNP
genotyping using DNA samples
from participants in the Japan
Prospective Studies Collaboration
for Aging and Dementia (JPSC-AD
study) and the Hisayama Study

We have organized cohort data
related to oral diseases We havestarted analyzing oral microbiota

https://www.hisayama.med.kyushuu.ac.jp/en/
https://www.eph.med.kyushuu.ac.jp/jpsc/en/

https://www.hisayama.med.kyushuu.ac.jp/en/
https://www.eph.med.kyushuu.ac.jp/jpsc/en/

http://www.prevent-dent-kyushuu.com/course01.html
https://kaken.nii.ac.jp/en/grant/KAK
ENHI-PROJECT-22H03303/

We have received and started
preparing residents’ medical, health https://100.city.fukuoka.lg.jp/actions/checkup, and nursing care data
2767
provided by Fukuoka City

(Initiative Period: 2022–2030)

F: EBPM Project 2
School of Healthcare
Goal by 2030: Practice evidence-based
Administration, Faculty ofpolicy making (EBPM), conduct dataMedical Sciences
driven clinical epidemiological researchusing health data from local
governments－

Collaborations (e.g., Other groups,
other units, DDIn2)

We are preparing to measurebiomarkers using stored specimensfrom participants in the Hisayama
Study and the Japan Prospective
Studies Collaboration for Aging and
Dementia (JPSC-AD study)(Initiative Period: 2022–2030)

Investigate health issues in Fukuoka
City using residents’ medical, healthcheckup, and nursing care data andfollow up with health policy
recommendations－

Action Item 5

Action Item 4

We have started analyzing follow-up https://www.hisayama.med.kyushudata of participants in the Hisayama u.ac.jp/en/
Study and the Japan Prospective
Studies Collaboration for Aging and https://www.eph.med.kyushuDementia (JPSC-AD study)
u.ac.jp/jpsc/en/

Identify biomarkers associated withthe onset of dementia(Initiative Period: 2022–2030)

Action Item 3(Initiative Period: 2022–2030)(Initiative Period: 2022–2030)

C: Genomic Epidemiology ProjectGroup for Social
Transformation
Goal for 2030: Identify genetic risk
Through Data Science
factors for lifestyle diseases anddementia

Action Item 1

Haruhisa
FukudaConduct data-driven clinicalepidemiological studies based on
Rezept data managed by local
governments and make healthpolicy recommendations(Initiative Period: 2022–2030)

We have launched The Longevity
https://life.hcam.med.kyushuImprovement & Fair Evidence(LIFE) Study, using prescription data u.ac.jp/
from multiple local governments

Medicine and HealthSocial transformation through data science
Contribute to healthcare and health administration through data analysis utilizing cohorts and databases of medical, healthscreening, and nursing care information from local governments

2022
Planning anddata maintenance● Research planning● Consolidate cohort

data● Integrate cohort datawith imaging data,
omics, etc.
● Acquire and constructdatabases for medical,
health examination,and nursing care datafrom regional local
governments

2023

2025

Promote regional cohort studies● Explore risk factors for the onset of oral diseases, situations

requiring nursing care, dementia, and lifestyle diseases using
cohort data, imaging information, and omics● Identify biomarkers for the onset of dementia● Analyze oral bacterial flora● Identify genetic risk factors for lifestyle diseases and dementia

Data analysis utilizing healthcare, healthscreening, and nursing care databases fromlocal governments and businesses● Consider the circumstances of health problems in regional

communities● Conduct data-driven research on clinical epidemiology
leveraging local government data
● Extend research on healthcare economic evaluation

Consolidated management of regional, disease, andenvironmental cohorts within Kyushu University

2030

Future Initiatives
DiseasePrediction
Assessment
AppBrain Volume
Measurement
SystemDevelop algorithms to predict theonset of oral diseases, situations
requiring nursing care, dementia,
and lifestyle diseases
Engage in evidence-based policy
making and providing healthpolicy recommendations for local
governments and businesses
Local Governments andBusinesses

Kyushu University
Collaborationin dataanalysis, etc.
• Centralized analysis of health, medical, andnursing care data from local governments andcompanies• Advanced analysis that includes identifying
follow-up nursing care trends in groups withspecific diseases

HealthLocal
Information

Nursing Care

MedicalTreatments• Big data bringing together health,healthcare, and nursing care data held by
local governments and businesses

Determining policy
based on analysis

Faculty of Medical Sciences

Center for Cohort Studies

Promoting evidence-based
policy-making● Develop IT tools for theapplication of evidencebased preventive
medicine in practice● Conduct personalized
medicine● Achieving healthcare
through the utilization of
Personal Health Records(PHR) and digitaltransformation (DX)● Train experts in data
scienceList of Group Initiatives
June 20, 2024
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akaishi
Group Leader Name: Satoshi FukumotoGroup Name

Goal

Project Manager
Affiliation

Position

NameGroup-wide:

Establish a foundational
database for stem cell
regulation

Goal for 2030: Realize
regenerative medicine throughstem cell application

Faculty of Dental
Science

Professor

Neurological Disease
Regeneration Project:

Goal by 2030: Establish
regenerative therapies targeting
neurological diseases

Faculty of Medical
Sciences

Professor

Satoshi
Fukumoto

Stem Cell
Regulation

Medical Institute of
Bioregulation

Institute for Materials
Chemistry andEngineering

Kyushu University
Hospital

Faculty of Dental
Science

SatoruKidoakiDevelop a cell culture
technology to enhance thetherapeutic effect ofmesenchymal stem cells(Initiative Period: 2013–2026)

Yoshikane
Kikushige

Elucidate the molecular
Construct an omics database foundation necessary forfor human cancer stem cells
cancer stem celland use it to derive therapeutic transformation by comparing
target molecules
human cancer stem cells with
(Initiative Period: 2022–2025) normal tissue stem cells(Initiative Period: 2023–2027)

Assistant
Professor

Keigo
Yoshizaki

Mechanism of organ fate
determination throughepithelial-mesenchymal
interactions(Initiative Period: 2023–2030)

Professor

Development of technology for
Identify factors that maintain
Functional elucidation andfunctional regeneration of
Development of methods forhematopoietic stem celltherapeutic application of niche tissue stem cells based on thefunctional regeneration of
Fumio Arai function and elucidate theirfactors produced bymechanism of functional
aged tissue stem cells
actions.
mesenchymal stem cells
maintenance of the stem cell
(Initiative Period: 2024–2030)(Initiative Period: 2024–2030) (Initiative Period: 2024–2030) niche (Initiative Period: 2024–
2030)

Professor

Professor

Lecturer

Goal by 2030:Developing tooth
regeneration technology

Stem Cell Microenvironment(Niche) Control Project:
Faculty of Medical
Sciences

Replicate rare disease models
Develop regenerative medical
and elucidate their onset
Develop disease therapies
technologies using stem cellmechanisms using
using mesenchymal stem cells
derived exosomes
mesenchymal stem cells(Initiative Period: 2024–2030)(Initiative Period: 2022–2028)(Initiative Period: 2022–2026) (Initiative Period: 2022–2025)

Create a genetic database
aimed at elucidating thedevelopmental basis of oral
tissue formation

AtsushiSuzuki

Tooth Regeneration Project:

Goal by 2030: Development ofregenerative technologies thattarget the hematopoietic
microenvironment－

Generate human-induced liver
Develop treatments for liverprogenitor cells that can bediseases that utilize liver
leveraged for medical
regeneration
treatments and drug discovery(Initiative Period: 2022–2026)(Initiative Period: 2022–2026)

Cancer Stem Cell Regulation
Project:

Goal by 2030: Develop novel
therapeutic strategies based on
the characteristics of humancancer stem cells

Develop regenerative
therapies for specificallytargeting certain diseases

Action Item 4

Elucidate the common
principles behind the onset of Develop a treatment for agerelated hearing loss centeredpsychiatric and neurologicalaround the spiral ganglion
diseases caused byinflammation and cellular aging(Initiative Period: 2023–2028)(Initiative Period: 2023–2027) (Initiative Period: 2022–2029)

High-Quality Stem Cell Creation
Project:

Goal by 2030: Develop quality
control and stable supply
techniques for stem cells used inregeneration

Develop technology forreverse induction from stem
cells

Action Item 3

Elucidate the mechanism
behind cell-specific
Develop a treatment for stroke
differentiation failure in
Kinichiusing direct differentiation
humans and create ways to
Nakashimacounteract it(Initiative Period: 2022–2024)

Liver Reconstruction Project:

Goal by 2030: Establish
regenerative technologies
targeting the liver

Action Item 2

Action Item 5

Collaborations (e.g.,
Other groups, otherunits, DDIn2)

Project URL－(Initiative Period: 2022–2025) (Initiative Period: 2022–2030) (Initiative Period: 2022–2030)

Oral Tissue Reconstruction
Project:

Goal by 2030: Develop
regenerative technologies fororal tissues

Action Item 1

Implement medical treatment
and drug discovery practices
that use direct reprogramming(Initiative Period: 2027–2030)

Establish an in situ quality
Develop cell culture substrates control and evaluation
for the functional activation of monitoring culture system forregenerative medicine cells
therapeutic cells and cell
(Initiative Period: 2025–2028) production(Initiative Period: 2013–2030)

Build a therapeutic modeltargeting human cancer stem
cells
(Initiative Period: 2023–2030)

Development of organ
regeneration technology using Development of dentalorgan fate transformation
regeneration technology
models(Initiative Period: 2023–2030)(Initiative Period: 2023–2030)

Develop bio-implants withfunctionality equivalent to thatof natural teeth(Initiative Period: 2025–2030)

https://www.lab.med.kyush
u-u.ac.jp/scb/ (Japanese)

https://www.bioreg.kyushu
u.ac.jp/labo/orgreg/top.ht
ml (Japanese)

Medicine and HealthStem Cell Regulation
Understand the traits of tissue stem cells needed for regenerative medicine and create methods of regulation
Clarify pathogenic mechanisms and create disease models needed to develop treatments for specific diseases (rare diseases, etc.)
Build the technological infrastructure for organ regeneration
Develop technologies for the stable supply of stem cells used in regenerative medicine and create methods for quality control

2022

2023

Implementation
planning

Future Initiatives

2030
2019年

2025

Build databases

Modeling for specific diseases Targeting neurological disorders, liver diseases,

Comprehensive genetic
screening
Proteome analysis
Understand spatiotemporalmolecular expressions

Tooth

DentalPulp

Dental Pulp
MSCs

Disease Modeloral diseases, and malignant tumors

Neurological Disorder
Autoimmune Disorder
Disorders of the Skeletal System, etc.

Realize new systems for diagnosis
and treatment

HybridImplant

Acute Cerebral Infarction
Spinal Cord Injury(Artificial Materials and Cells)

Develop cellular construction
technologies for organ regeneration

Develop disease regeneration andtreatment technologies

Artificial induction of tissue cells using cellular reprogramming, etc.
Develop technologies for organ regeneration through the threedimensional construction of tissue cells

Develop regenerative and restorative technologies throughapplying the stem cells of specific diseases, etc.
Human Deciduous Teeth

Acute Liver Failure /Acute Hepatitis

Congenital Metabolic
DiseasesRealize treatments for organ
regeneration and launch onto themarketCirrhosis

Liver

Primary Neuron

Spinal Cord Injury

Astrocyte

Interneuron

Cellular
Therapy
Regenerative
Medicine

Damage Site

Selection

Optimization of cells andapplication to diseases

Primary Tooth
Stem Cells

Somatic Cell
Reprogrammed Gene

Develop technologies for the stablesupply of tissue stem cells

Elucidation of
Pathologies

Primary Tooth Stem Cell Bank

Monolayer Culture
Human iPS cell

Motor Neuron

Autologous Primary Tooth Stem Cells

Neurons Derived
from Transplanted
Cells
Neuroepithelial-Like Stem Cell

Stem Cell Rescue(Transplant)

Protein Replacement
Therapy for Deficientor Absent Proteins

Artificial Liver
Transplant

Small Liver

Enlarged Liver

Hepatocyte (Liver Cell)

Gastrointestinal
Tract

Ganglion Cell

Hirschsprung's Disease and Similar Disorders
Regeneration of
the Enteric
Nervous System
Support Cells

Glial Cells

Diaphragmatic Hernia andRespiratory Pulmonary Hypoplasia
OrgansStriated Muscle Artificial
Cells
Diaphragm Patch

Lung Maturation

Primary Tooth
Stem Cells

Fig. 11 Development of novel therapeutics using deciduous tooth stem cells

Develop technologies for the quality control of tissue stem cells

List of Group Initiatives
September 27, 2023
Unit Name: Medicine and Health
Unit Leader Name:Koichi Akashi
Group Leader's Name: Noriko Isobe
Group
Name

Goal

Project Manager
Affiliation

Position

Name

Action Item 1

Action Item 2

Action Item 3

Action Item 4

Action Item 5

Collaborations (e.g.,
Other groups, otherunits, DDIn2)Group-wide:
Goal by 2030:
Establishment of a prediction system for the onset of neurological and psychiatric diseases in a society
with a long life expectancy and establishment of a personalized treatment system
Establishment of innovative technologies targeting brain immunity for the formation and maintenance of Progress management of initiatives based on the implementation plan
(Initiative period: 2023-2030)
a healthy brain
Identification of pathogenic mechanisms and responsible circuits for developmental disorders andpsychiatric diseases
Understanding of individuality and diversity of brain functions and realization of an inclusive society
Elucidation of the principles of brain computation and integration with AI
Project for the Promotion of Personalized Therapy(Neurological Diseases):
Faculty of Medical
Goal by 2030:
Establishment of a prediction system for the onset Sciencesof neurological diseases in a society with a long life Neurology
expectancy and the foundation for a personalized
treatment system

Professor

NorikoIsobe

Conceptualization of
Toward the implementation of
Development of a system for personalized treatment andpersonalized treatment andpredicting the onset oftreatment optimization
treatment optimization
multifactorial diseases in the strategies for multifactorial
strategies in multifactorial
field of neurological diseases diseases in the field of
diseases in the field of(Initiative period: 2023 - 2030) neurological diseases
neurological diseases(Initiative period: 2024 - 2030) (Initiative period: 2025-2030)

Collaborate with thePrecision Medicine
Initiative G and theSocial Transformation
Data Science G as
appropriate.

Takahiro
Kato

Advance understanding of theConceptualization of
Toward implementation ofmolecular basis ofDevelopment of a system for Personalized Treatment and personalized treatment andneuropsychiatric disorders by
predicting the onset ofTreatment Optimization
treatment optimization
using human disease model
multifactorial diseases in the Strategies for Multifactorial
strategies in multifactorial
cells such as human bloodfield of psychiatric disorders
Disorders in the Field of
diseases in the field of
derived microglia-like (iMG)(Initiative period: 2023 - 2030) Mental Disorders
psychiatric disorders
cells(Initiative period: 2024 - 2030) (Initiative period: 2024 - 2030)(Initiative period: 2025 - 2030)

Collaborate with thePrecision Medicine
Initiative G and theSocial Transformation
Data Science G as
appropriate.

Nobuyuki
Sudo

Conceptualization of
Toward implementation of
Development of a system for personalized treatment andpersonalized treatment andpredicting the onset oftreatment optimization
treatment optimization
multifactorial diseases in the strategies in multifactorial
strategies in multifactorial
field of stress-related diseases diseases in the field of stress- diseases in the field of stress(Initiative period: 2023 - 2030) related diseases
related diseases(Initiative period: 2024 - 2030) (Initiative period: 2024 - 2030)

Collaborate with thePrecision Medicine
Initiative G and theSocial Transformation
Data Science G as
appropriate.

TakeruImaiMulti-scale understanding of
the developmental process ofnormal brain circuits usingtransparency techniques andoptical microscope
connectomics(Initiative period: 2023-2030)

Takahiro
MasudaAccelerate multifaceted
research centered on highdepth omics analysis
Integrated understanding oftechnology to gain an
the pathogenic mechanism ofintegrated understanding ofcentral nervous system
the mechanisms of normal
diseases with brain immunity
brain formation andas a starting point
maintenance with brain(Initiative period: 2024 - 2030)
immunity as a starting point.
(Initiative period: 2023 - 2030)

Project for the Promotion of Personalized Treatment(Mental Disorders):
Goal by 2030:
Establishment of a prediction system for the onsetof mental disorders in a society with a long life
expectancy and the foundation for a personalized
Neuroscien
treatment system
ce Group

Faculty of Medical
Sciences
Psychopathological
Medicine

Associate
Professor

Project for Promotion of Personalized Therapy(Stress-Related Diseases):
Faculty of Medical
Goal by 2030:
Sciences
Establishment of a prediction system for the onset
Psychosomaticof neurological and psychiatric disorders in a society
Medicinewith a long life expectancy and the establishment ofa foundation for personalized treatment systems

Professor

Neural Circuit Elucidation Project:

Goal by 2030:
Elucidation of brain circuit development and its
disruption

Faculty of Medical
Sciences
Professor
Department of Disease
Informatics

High Depth Omics & Brain Immunity Project:

Institute of Bioregulatory
Professor
Goal by 2030:
Medicine
Establishment of breakthrough technology targeting
brain immunity for the formation and maintenanceof a healthy brain

Comprehensive analysis of
Elucidation of in vitro
Functional classification of
the process of circuitreconstructive systems andorgan sensation using in vivo
development using models ofmathematical principles ofimaging and elucidation ofdevelopmental disorders andneural circuit development
neural circuits responsible forpsychiatric disorders to identify
and memory and learning
gut-brain correlation
the responsible circuits
processes(Initiative period: 2024 - 2030)(Initiative period: 2024 - 2030)(Initiative period: 2025 - 2030)

Project URL

Medical & Health

Neuroscience In an aging and increasingly complex society, there is a growing demand to address and elucidate the pathophysiology of neurodegenerative diseases, psychiatric disorders, developmental disorders, and stressrelated disorders.
 Aiming to establish innovative technologies and therapies targeting brain immunity, practice personalized medicine, and social implementation in order to maintain a healthy brain.
 Elucidate the process of neural circuit development and circuit development in neurological and psychiatric disorders through AI and mathematical approaches, etc., to further realize an inclusive society.

2023

2024

2019

2025

Future Initiatives

2030

Comprehensive Understanding of Normal
Elucidating Circuit Changes and Their
Brain Formation and Maintenance
Underlying Basis in Normal Brain Development
and Mental Disorders Through Multi-Scaleconnected Mechanisms, as well as Central Nervous
System Disorders, through High-Depth
Analysis of Brain Circuits
Prepare for
Omics Analysis
starting projects
健やかな脳の形成

・Planning
・Kick-off and startup

connected

connected

Establishment ofgroundbreaking technologies
focused on brain immunity forthe formation and maintenanceof a healthy brain•

Practice and social
implementation of personalized
medicine in multifactorialdiseases in the field of
psychiatric and neurologicaldisorders•

Understanding the individualityand diversity of brain function•

Realization of an inclusive
society

健やかな脳の維持

connected

Pathophysiological Understanding and Therapeutic
Establishing Individualized Treatment
Innovation for Psychoneurological Disorders Using
Approaches Utilizing Polygenic Risk Score (PRS)
Human Model Cells Such as iMG

connected•

List of Group Initiatives
February 14, 2023
Unit Name: Medicine and Health
Unit Leader Name: Koichi Akaishi
Group Leader Name: Junko Ayuzawa

Group Name

Goal

Project Manager
Affiliation

Position

Name

Action Item 1

Action Item 2

Action Item 3

Action Item 4

Action Item 5

Collaborations (e.g., Other groups, otherunits, DDIn2)Group-wide:
Goal for 2030:★ Collaborate with the Open Innovation Platform (OIP) and leverage integrativeknowledge★ Resolve the social and ethical issues of future medicine through forecasting by aproblem-solving panel and make recommendations on the economic rationality andsustainability of future medicine through forecasting by a recommendations panel★ Establish processes that enable us to continually solve problems and makerecommendations in the future

Establish processes that enable us toOversee progress of initiatives based on ・Prepare and build infrastructure while
continually solve problems and makeaction plans
preparing for collaboration with the OIP
recommendations in the future

A Planning Panel Project:

・Prepare, launch, and establish aplanning panel
・Commence the development of actionplans for group initiatives

Goal for 2030:
Develop an action plan

Faculty of Medical
Sciences
School of Healthcare
Administration

Faculty of Medical
Sciences

Associate
Professor

Junko
Ayuzawa(Initiative Period: 2022–2030)(Initiative Period: 2022–2030)－－(Initiative Period: 2025–2030)

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

(Initiative Period: 2022–2030)

Professor

NorikoIsobe・Prepare, launch, and establish aplanning panel
・Commence the development of actionplans for group initiatives

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

(Initiative Period: 2022–2030)

Future ofMedicine

Faculty of Medical
Sciences

Professor

HiroakiNiiro・Prepare, launch, and establish aplanning panel
・Commence the development of actionplans for group initiatives

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

(Initiative Period: 2022–2030)

Kyushu University
Hospital

Assistant
Professor

KurikoKudo

・Prepare, launch, and establish aplanning panel
・Commence the development of actionplans for group initiatives

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

(Initiative Period: 2022–2030)

B Problem-Solving Panel Project:

Goal for 2030:
Construct processes to enableongoing problem solving

Faculty of Medical
Sciences
School of Healthcare
Administration

Associate
Professor

Junko
Ayuzawa・Prepare, launch, and establish a
problem-solving panel
・Consider processes for drafting
proposals and building consensus
・Draft problem-solving proposals
・Commence the development of actionplans for group initiatives

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

－－

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

(Initiative Period: 2023–2030)

C Recommendations Panel Project:

Goal for 2030:
Construct processes to enableongoing recommendations

Faculty of Engineering
Center for Molecular
Systems
Center of Future
Chemistry

Associate
Professor

AkihiroKishimura・Prepare, launch, and establish arecommendations panel
・Consider processes for drafting
proposals and building consensus
・Begin drafting recommendations(Initiative Period: 2023–2030)

Promote collaboration between each of
the groups within this unit, theIntegrated Initiative for Designing Future
Society, and the Data-Driven Innovation
Initiative, as well as with collaborative
platforms and the OIP.

Project URL

Medicine and Health

Future medicine
Ongoing collaboration with the Open Innovation Platform (OIP) and the aggregation of integrative knowledge
Utilization of forecast-oriented problem-solving panels for the purpose of addressing societal and ethical challenges in future healthcare andrecommendations on economic rationality and sustainability in future healthcare through backcast-based proposition panels
Establish processes that enable us to continually solve problems and make recommendations in the futureZ

2022

2023

2025

Implementation
planning

Laying the
groundwork

Further development• Kick-off and launchof planning panel• Prepare forcollaboration with OIP• Prepare and launch
problem-solving panel• Prepare and launch
recommendations panel

2030 年2019Problem solving
and recommendations• Enhance collaboration with OIP• Develop problem-solving panel• Develop recommendations panel• Evaluate the process of issue resolution, offering
recommendations, and consensus-building• Identify problems and draft solutions• Draft recommendations

Medical Campus Collaborative Platform
Kyushu University Collaborative Platform for Medicine,
Humanities, and Social Sciences

Integrated Initiative for
Designing Future Society
Data-Driven
Innovation Initiative

Collaboration

Open Innovation Platform
Planning
Panel
Problem-Solving
Recommendation Panel
Panel• On-going collaboration with OIP• Accumulate integrativeknowledge

Construct processes to enable
on-going problem solving andrecommendations• Timely solutions for various issu

頭部MRI画像データ
Kyushu University Regional Collaboration Platform
約70,000人分 約40,000人分 約10,000人分
診療データ

Future Initiatives

ゲノムデータProblem solving
recommendations• Recommendations that meet theneeds of the times

Realizing an ideal
society