A Modular Ecosystem for Next-Generation Precision Medicine

ColabBio provides a comprehensive suite of interoperable modules built for strict data governance, scalable AI, and clinical research.

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Layer 1: Core & Provisioning

Base Platform & Provisioning

The foundational Kubernetes and VM infrastructure providing scalable, zero-trust services.

  • Declarative Provisioning: 2-Files Stack (vfs.yaml + study.yaml) across Local, VM, and K8s.
  • Multi-Tenancy: Strict logical and physical namespace isolation.
  • Deployment: Deploy as standalone VMs/MicroK8s or integrate into enterprise clusters.
  • IAM (OIDC): Centralized authentication using Keycloak and OAuth2.
  • Network Policies: Zero-trust network segmentation.
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Layer 2: Data Virtualization

Medical FUSE VFS (Zero-Copy)

Unified POSIX virtual file system abstracting complex medical data sources.

  • POSIX Translation: Treat OMOP, FHIR, and DICOM as native local files.
  • Streaming Cache: Aggressive caching, tile pre-fetching, and read-ahead acceleration.
  • Zero-Copy: Direct GPU training access without duplicating gigapixel datasets.
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Layer 3: Interoperability Protocol

Clinical MCP Servers

Standardized medical microservices over Anthropic's Model Context Protocol (FastMCP/SSE).

  • mcp-omop: Longitudinal cohort querying and SNOMED-CT/RxNorm translation.
  • mcp-dicom: PACS search (QIDO-RS) and series resolution (WADO-RS).
  • mcp-fhir & mcp-omero: EHR clinical records and gigapixel WSI slide connectors.
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Layer 4: Data Preparation

SlideLab Preprocessing

High-performance computational pathology pipeline for WSI preparation before AI training.

  • Tissue Masking: Automated extraction of relevant tissue regions.
  • Normalization: Macenko and Vahadane color normalization algorithms.
  • Tile Extraction: Efficient H5 embedding generation for MIL.
Layer 5: Compute & MLOps

Enterprise MLOps & Inference

End-to-end lifecycle management for deep learning models and distributed training.

  • NVIDIA Triton: GPU-accelerated dynamic inference server.
  • MLflow Registry: Centralized model versioning, artifacts, and tracking.
  • NVFlare: Privacy-preserving federated learning aggregator.
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Layer 6: Pipeline Orchestration

End-to-End Pipelines

Complete automation from raw data ingestion to clinical insights.

  • Ingestion & Processing: Automated Nextflow ETL pipelines for clinical data.
  • Training & Registration: Orchestrated model training and automated registry tracking.
  • Multi-modal Inference: Automated deployment to Triton for clinical consumption.
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Layer 7: Agentic Reasoning

Clinical Companion & Tools

Deterministic agentic AI copilot for pathologists and oncologists powered by LangGraph4j.

  • 19 Clinical Tools: Fact-checked, auditable reasoning without hallucinations.
  • Cyclic State Graph: Adaptive planning, prerequisite validation, and execution.
  • Real-Time Streaming: WebSocket event broadcast for heatmaps, ROI focus, and cards.
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Layer 8: Clinical Application

Pathology Viewer (cb_path_viewer)

Next-generation clinical visualization canvas for gigapixel Whole Slide Images.

  • Zero-Footprint: Pure HTML5 WebGL/Canvas rendering, no browser plugins.
  • Real-time AI: Dynamic overlay of diagnostic attention heatmaps.
  • OMERO Integration: Native integration with institutional OMERO servers.

Interoperability Standards

Native support for global healthcare data standards ensures seamless integration with existing hospital IT infrastructure.

HL7 FHIR
OMOP CDM
DICOMweb
OIDC / OAuth2