Shanghai CreateCured Biotechnology Co., Ltd.

CreateCured Biotechnology

Computing Life, Creating Cures

From multi-omics data to virtual disease digital twins

CreateCured combines AI biocomputing, multi-omics, clinical phenotyping, and 3D organoid validation to build actionable disease digital twins and move from mechanism discovery to translational validation with clearer experimental priority.

Explore Multi-omics Contact Us

Capability model

4 technology pillars

Validation path

Compute first, validate fast

Core method

AI + multi-omics

Multi-omics Analysis

CreateCured brings whole-genome, single-cell, proteomic, and cross-omics evidence into one computational framework, turning complex disease data into interpretable and experimentally testable mechanism leads.

Circular whole-genome variant map with multi-layer genomic signals

Whole-genome variant interpretation

Interpret SNVs, CNVs, structural variants, and driver events to map disease genetics, risk loci, and candidate targets.

WGSVariant CallingDriver Events

Single-cell t-SNE embedding with annotated cell clusters

Single-cell state modeling

Resolve cell populations, state transitions, and microenvironment interactions to identify disease-driving states and transition points.

scRNA-seqCell StateTrajectory

Protein interaction network and pathway readout illustration

Proteomic and pathway readout

Read out functional-layer signaling and pathway activity, linking genomic perturbation to measurable biology and drug response.

ProteomicsPathway ActivityFunctional Readout

Gene-expression-driven virtual cell Transformer model visualization

Virtual cell model

Learn virtual cell representations from gene expression and cell context to predict type, state, pathway activity, and perturbation response.

Virtual CellTransformerPerturbation Response

Cross-omics evidence integration engine for mechanism inference

Cross-omics mechanism inference

Combine genetic, transcriptomic, proteomic, and phenotype evidence into mechanism hypotheses, core nodes, and validation priority.

Cross-layer ModelingNetwork BiologyMechanism

Clinical Data Integration

Align medical records, imaging, pathology, response, and follow-up data in one coordinate system so phenotypes and molecular mechanisms can be searched, compared, stratified, and modeled together.

Digital human body unifying clinical data and multi-omics mechanisms

Phenotype Layer

Structured phenotype curation

Standardize history, staging, labs, medications, and disease course into comparable patient-level features.

Structured EMR

Disease Course

Patient Stratification

Image & Pathology

Imaging and pathology linkage

Connect radiology, digital pathology, and tissue spatial context with molecular signals to strengthen clinical interpretation.

Radiology

Digital Pathology

Spatial Context

Outcome Modeling

Response and outcome modeling

Build cohort views around treatment response, relapse risk, and endpoints to support subgroup discovery and efficacy analysis.

Response Signal

Outcome Endpoint

Cohort Insight

Virtual Cell Intervention

Simulate target, pathway, and drug perturbations inside disease digital twins and virtual cell contexts, assessing state shifts, compensation, risk signals, and experimental priority before wet-lab work.

Closed-loop workflow from computational priority to experimental validation and translation

Build the virtual cell baseline

Fuse multi-omics and clinical context into a disease-relevant cell-state baseline with an intervention-ready space.

Inject target and drug perturbations

Test single-target, combination, and dose-dependent scenarios, then observe the response paths after intervention.

Evaluate state shifts and risk

Track pathway echoes, compensatory circuits, and potential adverse-response signals to select robust outcomes.

Generate validation priority

Output the hypotheses, combinations, and intervention candidates most worth moving into organoid and wet-lab assays.

3D Organoid Platform

Use a 3D organoid platform that better reflects tissue structure and microenvironment to validate computational predictions, candidate interventions, and mechanism hypotheses.

Organoid Model

Disease-relevant 3D models

Build three-dimensional disease models that capture tissue structure, cell states, and spatial relationships closer to real pathology.

3D StructureDisease ContextDynamic Observation

Tumor and fibroblast co-culture microscopy comparison

Microenvironment

Microenvironment and co-culture

Evaluate intervention effects under richer cell interplay, immune context, and stromal conditions to improve translational relevance.

Cell InterplayCo-cultureFunctional Response

Contact

Start a Collaboration

To discuss multi-omics analysis, clinical data integration, virtual cell intervention, or 3D organoid validation, contact the CreateCured team.

Company

Shanghai CreateCured Biotechnology Co., Ltd.

Brand

CreateCured

info@createcured.com