EpiTrace.AI — Epigenomic Intelligence for Researchers, Clinicians & Innovators
EpiTrace.AI is a next-generation platform for decoding single-cell methylation patterns, reconstructing clonal lineages, and generating actionable intelligence across development, disease, and aging.
It unifies analytics, AI, lineage reconstruction, CpG biomarker discovery, and multi-modal visualization into a single scientific interface — designed for research teams, clinicians, consortia, and translational programs.
The Fragmentation Problem in Epigenomics & Life Data
Despite progress in genomics and health AI, the true life story of each cell remains fragmented and scattered across tools, institutes, cohorts, and environments.
Key challenges EpiTrace.AI addresses:
- Siloed data — Omics and health data stored in isolated systems.
- Missed insights — Hidden regulatory patterns lost across files.
- Opaque AI — Black-box models limit scientific or clinical adoption.
- No global cell-lineage map — No multi-species atlas of development & disease.
- Barriers to collaboration — No universal FAIR++ annotation standard.
EpiTrace.AI solves this by offering an integrated, explainable, trusted platform for lineage intelligence and epigenetic pattern discovery.
From Dashboard to Global Life & Disease Atlas
Our vision is to create the world’s trusted platform for decoding the life story of every cell:
- Universal Copilot for lineage, methylation & multi-omics analytics.
- FAIR++ Open Science Leadership for future annotation standards.
- Global Life & Disease Atlas across humans, animals, and plants.
- Healing Intelligence — long-term trajectory: predictive health & aging.
The current v9.4.3 platform is the foundation for this global vision — evolving toward a cloud-native, collaborative biomedical intelligence system.
What Makes EpiTrace.AI Unique
- Life Story Intelligence — Focus on temporal trajectories, not snapshots.
- Explainable by Design — Transparent models, interpretable results.
- FAIR++ Data Philosophy — Mapped, annotated, shareable multi-omics.
- Modular SuperUI — UMAP Viewer, Lineage Explorer, CpG Explorer, Export.
- Partner-driven Development — DKFZ, Rurainski Foundation, ETHORITY.
- Scalable Roadmap — Ready for AI transformers, cross-cohort integration.
From Bench to Bedside to Global Health
Research & Academia
- Epigenetic switch discovery
- Lineage tracing of tumors & organoids
- Multi-omics integration for systems biology
- Automated CpG biomarker ranking
Clinical & Translational Medicine
- Precision diagnostics & early detection
- Minimal Residual Disease (MRD) monitoring
- Therapy-response analysis using methylation states
- Interactive digital tumor boards
Pharma & Biotech
- Biomarker validation & companion diagnostics
- Target discovery from epigenomic landscapes
- Clinical trial cohort stratification
- Virtual response modeling (future roadmap)
Public Health & Advocacy
- Population-level epigenetic risk mapping
- Citizen science under ethical governance
- Early detection initiatives ↔ research synergy
EpiTrace.AI — A Compass for the Biology of Healing
EpiTrace.AI enables researchers to trace epigenetic life stories encoded in cells, revealing clonal development, disease evolution, and regenerative potential.
- Data foundation: murine + human methylation datasets
- Methods: Variational Autoencoders (MethVAE), Transformer models
- Interface: Interactive dashboards for scientists & clinicians
Future trajectory: Gene Regulation Atlas, longitudinal patient integration, multi-species prediction models.
Partnerships with DKFZ & the Dr. Rurainski Foundation
EpiTrace.AI is co-developed with leading researchers at the German Cancer Research Center (DKFZ) and supported by the Dr. Rurainski Foundation. Areas of collaboration:
- Single-cell methylation datasets (murine & human)
- MethVAE lineage models and Transformer extensions
- Transparency, documentation, and reproducibility
- Healing Intelligence roadmap for early detection
Technical Architecture — Version 9.4.3
EpiTrace.AI operates on a secure, hardened cloud environment engineered for scientific reliability, transparent analytics, and long-term extensibility. The platform is optimized for single-cell methylation workflows while remaining ready for multi-omics expansion.
Core Stack
- Frontend: Streamlit SuperUI (UMAP, Lineage, CpG Explorer, Smart Analytics)
- Backend: Python 3.10 (modular and extensible pipeline)
- Data Formats: .h5ad / .csv (AnnData-based interoperability)
- Key Libraries: scanpy, anndata, numpy, plotly, pandas
Infrastructure
- Cloud Platform: Google Cloud Platform (isolated compute environment)
- Access Control: Restricted admin endpoints, internal-only surfaces
- Network Strategy: Minimal inbound footprint, segmented routing
Security & Stability
- Encrypted transport (TLS) via managed certificates
- Cloud-native firewall layers and routing isolation
- Process supervision with automated recovery
- No public SSH, no exposed administrative services
- Operational logs and audit trails available to partners
The architecture remains intentionally lean to ensure stability, while providing a strong foundation for the next-generation evolution of EpiTrace.AI.
Scalability Roadmap
- Cloud-native multi-tenant research environment
- FAIR++ metadata and annotation service
- Transformer-based lineage & reconstruction models
- Global cross-cohort epigenomic atlas
Research Partners, Foundations, Clinics
EpiTrace.AI is currently available as a research-grade PoC with active partner programs.
- Joint research & fellowships
- Early detection initiatives
- Interactive data visualization collaborations
- Strategic biomedical AI programs
Contact: sten@ethority.ai