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Molecular Diagnostics Research Institute

The Molecular Diagnostics Research focuses on the development and research of diagnostic reagents for genetic disorders and infectious diseases.

Molecular Diagnostics Research Institute

The Molecular Diagnostics Research Institute conducts clinical research and develops new tests to standardize diagnostic algorithms for various diseases.

Features

01

Has manpower in field such as Bioinformatics (BI)

02

Conducts cooperative researches with research institutions and hospitals at domestic and abroad

03

Owns core facility with various genomics analysis instruments(NovaSeq 6000 · NextSeq 2000/550x · CFX96 · Veritipro)

Fields

1. Genomic Research
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    연구분야이미지 연구분야이미지 연구분야이미지 연구분야이미지
  • Next Generation Sequencing (NGS)

    Next-Generation Sequencing (NGS) allows for rapid evaluation of disease diagnosis or prognosis through genetic testing. Unlike traditional sequencing methods, NGS amplifies and analyzes large volumes of DNA simultaneously, enabling the quick reporting of extensive genetic information. Hereditary disorder panel, Metagenomics analysis, Non-invasive prenatal test (SeeNIPT), Solid Tumor Panel, Whole exome sequencing (WES) and Whole genome sequencing (WGS) analysis, etc.
2. Molecular diagnostics research
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  • Clinical research

    · Conducts clinical researches for the standardization of the algorithm for diagnosis of genes and bacteria that cause various diseases. · Performs clinical research on in vitro medical devices. · Conducts cooperative researches with leading research institutions and hospitals at domestic and abroad.
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  • Research and development (R&D)

    · Develops reagents for new tests based on trained manpower and patented technology in molecular diagnosis. · Development reagents for detecting genetic diseases and infectious diseases. · Strict quality control of diagnostic reagents based on standardized production and QC process

R&D Center for Clinical Mass Spectrometry

The R&D Center for Clinical Mass Spectrometry conducts research and development in proteomics to establish diagnostic methods.

R&D Center for Clinical Mass Spectrometry

The R&D Center for Clinical Mass Spectrometry contributes to the advancement of innovative laboratory medicine with the experts in proteomics and cutting-edge technology.

Features

01

Top-class clinical proteomics in the field of laboratory medicine

02

Research network activities with leading hospitals and research institutes

03

Own core facility with various mass spectrometric instruments(High-resolution MS/NanoLC · High-sensitivity triple quad MS/UPLC · MALDI-TOF MS)

Fields

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  • Development of Next-Generation Proteomics Technology

    · Development of proteomic testing method using high-resolution mass spectrometry · Development of proteomics technology using data-independent acquisition approach · Development of an AI-based diagnostic platform in precision-medicine
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  • Development of a simultaneous multiplexed protein testing method

    · Development of an automated sample preparation method · Discovery and verification of multiple protein markers · Discovery of disease-related post-translational modification in protein marker
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  • Development of glycoprotein analysis technology

    · Development of a disease-related glycoprotein testing method · Optimization of sample preparation · Glycan-specific glycopeptide quantification
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  • Development of a typical diagnostic platform using MALDI-TOF mass spectrometry

    · Development of core technologies for advanced MALDI-TOF MS analysis · Development of a target-specific sample preparation method · Development of a target protein detection and testing method

Immune Research Institute

The Immune Research Institute is dedicated to the development and research of diagnostic reagents for genetic disorders and infectious diseases.

Immune Research Institute

The Immune Research Institute was established to promote public health and develop the medical industry, and its expert researchers are dedicated to the research and development of immune cells that can treat diseases.

Features

01

Development of next-generation cell therapy using immune cells

02

Involvement of expert personnel and use of specialized equipment for immune cell culture and development

03

Creation of three-dimensional cell(spheroid) and organoid systems for drug function evaluation and disease treatment

Fields

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  • Establishment of CAR-T cell culture technology system

    · Equipped with lab-scale T cell production technology · Selection of viral vectors for gene delivery system establishment · Possession of optimal cell culture methods · Construction of an automated CAR-T production system
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  • Studies the T-cell selection criteria required to produce CAR-T cells with high anticancer efficacy.

    · Expansion of development for Autologous and Allogeneic CAR-T · Development of CAR vectors, antibody development, and advancement of production processes · Not only manufacturing anti-CD19 CAR-T for blood cancer treatment but also applying the technology to solid tumors and various other diseases
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  • Development of NK cell therapy

    · Optimization of NK cell expansion techniques · Engineering NK cells for enhanced targeting · Investigation of combination therapies involving NK cells and other immunotherapies · Establishment of scalable manufacturing processes for clinical-grade NK cells

Artificial Intelligence Research Institute

The Artificial Intelligence Research Institute leverages AI technology to enhance the quality of diagnostic testing.

Artificial Intelligence Research Institute

The Artificial Intelligence Research Institute is building the next-generation business model that uses artificial intelligence technologies to improve the quality of test results and operational efficiency, positioning it to respond to future societal changes.

Features

01

Cooperation with leading domestic and overseas institutions and companies related to the AI technology

02

Supports for the collection and processing of big data relating to the diagnostic test platform R&D.

03

The optimal composition of the workforce for AI R&D, including laboratory and pathology testing professionals, big data processing professionals, etc.

Achievements

1. SeeDP
(Seegene Digital Pathology)
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  • AI-Enhanced Digital Pathology · Digitalization of all endoscopic specimens using high-resolution scanners · Seamless access to whole slide images via the SeeDP system · Efficient identification and referral of cases at risk of misdiagnosis for secondary review
2. SeeGEP
(Seegene Gel ElectroPhoresis)
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  • AI-Enhanced Analysis of Gel ElectroPhoresis · Digitization and standardization of electrophoresis images for efficient analysis · Development of the SeeGEP systems to increase analysis speed and reduce operational errors
    Development of Advanced AI Models for Gel ElectroPhoresis · Detection of bands using a deep learning-based object detection algorithm · Development of robust AI models that are resilient to various noise levels · Introduction of MLOps to support continuously learning AI models from collected data
3. Automatic result input system by speech recognition technology for histopathology
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  • · Speech is converted to text automatically by AI-based natural language processing technology speed is maximized and the risk is minimized for the result input while the pathologist reads.

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