DBB (Digital Bio-Banking)

A data assetization platform serving as the foundation for precision medicine

Oncocross is expanding its precision medicine data business by leveraging clinical and genomic data assets accumulated through oncoMASTER, together with its proprietary AI analytics capabilities.

We are building a data-driven value chain that spans multi-omics data generation, data assetization, diagnostics, and clinical application.

VALUE PROPOSITION

Application Value

  • Value Proposition 01

    Biomarker Discovery

    Discovery of novel targets and biomarkers based on multi-omics data

  • Value Proposition 02

    Drug Development Support

    Support for patient stratification and responder analysis

  • Value Proposition 03

    Clinical Research Acceleration

    Support for identifying patient cohorts under specific conditions

  • Value Proposition 04

    Mechanistic Insight

    Proteomics-based interpretation of disease mechanisms and functional insights

  • Value Proposition 05

    Real-World Evidence

    Support for research and decision-making based on real-world clinical data

Status of DBB

DBB Overview

10,000+

Clinical & Genomic Records

2,700+

Biospecimen Samples

4-Layer

Multi-Omics Data

50+

Clinical & Research Network

PARTNERING POINTS

Partnering Points

Partnership Inquiry
  • Point 01

    Integrated Dataset

    Integrated data structure linking clinical, omics, and pathology data

  • Point 02

    Query-Ready Data

    Data structure enabling condition-based patient cohort exploration

  • Point 03

    Asia-Focused Data Advantage

    Differentiated analytics foundation based on East Asian patient data

  • Point 04

    Flexible Collaboration

    Flexible collaboration in data analytics, joint research, and customized projects

EXAMPLE USE CASES

Application Examples

*The following cases are expected application scenarios and are not actual cases.

  • 01

    In patient groups with specific genetic mutations,

    analysis of proteomics changes according to treatment response

  • 02

    Through comparison before and after immunotherapy,

    identification of responder vs. non-responder characteristics

  • 03

    In cohorts of specific cancer types,

    biomarker-based patient stratification

  • 04

    For discovery of new targets,

    multi-omics-based pathway analysis

  • 05

    Based on conditions requested by pharmaceutical companies,

    patient cohort exploration and data package provision

Together with Oncocross, we create new opportunities in drug discovery, diagnostics,
and data-driven expansion.

Let's Build the Next Possibility in Precision Medicine

Contact Us