Sovereign On-Premise AI for Non-Invasive Molecular Oncology — Algeria · KSA · MENA
# FLU-AI-Omega-medical
Sovereign On-Premise AI for Non-Invasive Molecular Oncology — Algeria · KSA · MENA
# FLU-IA Oméga Medical
### *Molecular Virtual Biopsy — Sovereign On-Premise AI*
**Non-invasive molecular profiling of tumors from standard CT/MRI scans.**
No cloud. No CUDA lock-in. No patient data leaves the hospital.
> *"A standard CT scan costs 7,000 DA. A biopsy + NGS costs 180,000 DA.
> FLU-IA Oméga bridges that gap — non-invasively, in under 5 minutes."*
**📩 Investor Deck · 🔬 Science · ⚙️ Architecture · 📈 Market · 🗺️ Roadmap**
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## Executive Summary
**FLU-IA Oméga Medical** is a Class-Critical **Software as a Medical Device (SaMD)** that transforms a standard CT or MRI scan into an instantaneous, non-invasive **molecular virtual biopsy**.
The system estimates the molecular and mutational profile of tumor anomalies (KRAS, EGFR, ALK) directly from medical imaging — with zero surgical risk, zero biological delay, and zero cloud dependency.
| | Standard Invasive Biopsy | **FLU-IA Oméga** |
|---|---|---|
| **Patient risk** | Invasive — 0.5–2% complications | ✅ Zero risk (imaging only) |
| **Results delay** | 3–6 weeks (NGS lab) | ✅ Architecture directly specified following consultation with radiologists at an Algiers private imaging center (May 2026). The critical insight: molecular prediction cannot rely on a single image slice. It requires full DICOM volume analysis, 3D reconstruction, and multi-slice correlation.
| Radiologist Clinical Step | FLU-IA Algorithmic Reproduction |
|---|---|
| Slice navigation & filtering | Lesion localization across all DICOM slices |
| Mental 3D segmentation | Precise multi-layer segmentation on all slices |
| Spatial 3D reconstruction | Millimeter-accurate volumetric fusion |
| Texture & heterogeneity analysis | 107+ 3D radiomics features (IBSI standard) |
| Multi-parametric decision | Multi-task classifier: imaging + clinical covariables (early fusion) |
**Invariant constraint:** No molecular pr …