BUSINESS

  • VISION
    We provide personalized health service with genetic risk prediction and early diagnosis of ALZHEIMER'S DISEASE via genomics, neuroimaging, and deep learning technology
  • MISSION
    We predict genetic risk in advance of ALZHEIMER'S DISEASE with deep learning analysis, and provide personalized medical information to control onset of it
  • BUSINESS AREA
    ALZHEIMER'S DISEASE risk prediction and early diagnosis service based on genetics & neuroimaging

HISTORY

2017

2017. 05
Agreement of technology transfer of early prediction of dementia with GIST

~ 2016

2016. 11
Participated in 'Dementia precise diagnosis technology development based on AI and imaging genetics' with ministry of science, ICT and future planning
2016. 10
Memorandum of understanding of brain imaging analytic AI development' with KISTI and Chosun University
2016. 08
LOI of early prediction of dementia with Won Sung Ho, Seoul National University
2016. 07
Participated in 'development of big data convergence analysis technology for ALZHEIMER early prediction platform' with ministry of science, ICT and future planning
2016. 05
'Licensing and cooperation agreement of ALZHEIMER prediction technology' with Chosun University
2015. 10
Established

SOLUTION

Diagnosis of Dementia based on imaging genetics and personalized medical diagnosis system.

  • 01

    Database :
    3800 people

    icon

    Usage of large scale brain imaging cohort / collection of new clinical validation cohort

    • Neuropsychol-ogical tests
    • MRI
    • PET
    • CSF
    • Genome
    • Diagnosis
  • 02

    Data analysis for
    precise diagnosis

    icon
    Integrated analysis
    (T1, T2, fMRI)
    Cortex ROI
    fMRI brain neural network analysis
    Structural brain including hippocampus
    Imaging genetics &
    Deep learning
    CNN (Neuroimage)
    TSE (Genome)
    LSTM (Multi-modal)
  • 03

    Type determination and
    precise diagnosis algorithm

    icon
    Algorithm
    and clinical verification
    01 Dementia cause and type determination
    02 Prediction of pre-clinical phase
    03 Dementia cause determination
    04 Integrated analysis of imaging genetics
  • 04

    Personalized precise diagnosis
    system development

    icon

    Medical instrument

    • Medical system design
    • Prototype
    • Pre-clinical
    • Clinical test system
    • Clinical approval
    Dementia diagnosis commercialization
  • 01

    Database :
    3800 people

    Usage of large scale brain imaging cohort / collection of new clinical validation cohort

    • Neuropsychol ogical tests
    • MRI
    • PET
    • CSF
    • Genome
    • Diagnosis
  • 02

    Data analysis for
    precise diagnosis

    Integrated analysis
    (T1, T2, fMRI)
    Cortex ROI
    fMRI brain neural
    network analysis
    Structural brain
    including hippocampus
    Imaging genetics &
    Deep learning
    CNN (Neuroimage)
    TSE (Genome)
    LSTM (Multi-modal)
  • 03

    Type determination and
    precise diagnosis algorithm

    Algorithm
    and clinical verification
    01 Dementia cause and
    type determination
    02 Prediction of
    pre-clinical phase
    03 Dementia cause
    determination
    04 Integrated analysis
    of imaging genetics
  • 04

    Personalized precise diagnosis
    system development

    Medical instrument

    • Medical system design
    • Prototype
    • Pre-clinical
    • Clinical test system
    • Clinical approval
    Dementia diagnosis commercialization
  • Y 2017 - 2022

    Goverment-related R&D : dementia diagnosis commercialization

    Dementia diagnosis commercialization

    Government-related R&D

    • - Dementia prediction platform based on big data (Chosun Univ.)
    • - Dementia diagnosis device based on imaging genetics. (Ministry of science, ICT and future planning)
    • - Dementia prediction service based on genome (Ministry of trade, industry and energy)
  • Y 2019 -

    Dementia risk prediction service on asian aging people

    Service and DB
    • Cloud-type platform base service
    • DTC (Direct to customer) partners by countries (China and Japan first)
    • Post-service after dementia risk prediction service
  • Y 2020 -

    Estimated age-related diseases and expansion of early diagnosis

    Personalized medicine
    • Expansion of personalized aging diseases services : hypertension, diabetes, arthritis, cerebrovascular diseases, etc
    • Clinical sequencing data
    • Secure value chain with alliance institutions

NEWS

label 2018.08.30

한국의료기기안전정보원(NIDS)

Neuro I(뉴로아이), 의료기기 분석장치소프트웨어 품목으로 의료기기 제조 인증서 획득
label 2018.07.31

의학신문

‘AAIC(Alzheimer’s Association International Conference) 2018 시카고‘에서 국내기업 최초로 핵심기술을 선보여
label 2018.04.25

KCL(한국건설생활환경시험연구원)

‘의료기기 제조 및 품질관리 기준 적합인정서(Certificate of GMP)’를 획득
label 2017.06.30

NEWSPIM

유전자로 치매 예측...
2019년까지 상용화

이상훈 대표이사 인터뷰
label 2016.05.10

Yonhap News

조선대-인포메디텍 치매예측 기술이전 협약
label 2016.10.14

Yonhap News

KISTI-조선대-인포메디텍 ‘뇌 영상 분석기술 개발’ 협력
label 2017.5.26

Yonhap News

광주과기원-인포메디텍, 치매 조기진단 기술 이전 협약

TEAM

MAN POWER

Sunny Lee
CEO, CEO of Uzen and Zen&Ventures
  • Fomer CEO of Commerce 21
  • Director, Enet and Interpark
  • BA, Engineering College of Seoul National University
Seounguk Ha
Fomer CEO, QnSolv as a Solution Provider
  • Director, Interpark
  • MA, Business Administration of Seoul National University
Jerry Park
CTO, Big Data and Database Security
  • Director, Uzen-I, Enet
  • MA, Computer Science of Inha University
Sangsuk Lee
CFO, iCube as a Media Solution Provider
  • Manager, Qrix
  • BA and MA, Business Administration of Seoul National University

ADVISORY GROUP

Kunho Lee
Professor, College of Natural Science, Chosun University
  • Head, National Research Center of Dementia
  • Research Associate, Department of Pharmacology, Pittsburgh Medical School
  • Research Chief, Korea Brain Science Institute
Sungho Won
Professor, Graduate School of Public Health, Seoul National University
  • Master of Mechanics and Health Statistics, Case Western Reserve University
  • Harvard School of Public Health, Postdoc
  • Paper : Evaluation of Penalized and Nonpenalized Methods for Disease Prediction with Large-Scale Genetic Data, 2015
Heung-il Suk
Professor, Dept. of Brain and Cognitive Engineering, Korea University
  • Machine Learning, Neuroimage Analysis, Brain-Computer Interface, Computer Vision
  • Paper : Deep sparse multi-task learning for feature selection in ALZHEIMER'S DISEASE diagnosis, 2016 Canonical feature selection for joint regression and multi-class identification in ALZHEIMER'S DISEASE diagnosis, 2016
Boreom Lee
Professor, School of Mechanical Engineering Gwangju Institute of Science and Technology
  • Chair, Dept. of Biomedical Science and Engineering Institute of Integrated Technology

CONTACT

  • 82-2-501-4295
  • DongGung Building 7F, Teheran-ro 20gil 9,
    Gangnam-gu, Seoul, Korea
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