Learns from biology. Explains with clarity.
A reasoning system that combines multi-omics data, advanced machine learning and systems biology — grounded by an explicit, curated knowledge graph rather than parametric memory.
Multi-omics integration
Seamlessly fuses all six omics layers into a unified representation.
Advanced AI/ML
Deep learning, ensemble and transfer learning uncover hidden patterns.
Systems biology
Networks and pathways model the interactions that drive function.
Knowledge graph & ontologies
Curated biology and literature ground outputs in context.
Causal inference
Mechanistic reasoning identifies drivers, not just correlations.
Biomarker discovery
Identify biomarkers and therapeutic targets with biological relevance.
Every layer beneath exists to make the layer above defensible.
Agents and copilots are not part of this stack — they belong to MSI CORE, the AI Agent Layer. OmnigeniX supplies and interprets multi-omics intelligence; MSI CORE orchestrates and presents it. Keeping those separate is what makes each validatable.
What the model is not allowed to do.
Classification, dosing, eligibility and interaction determination run through deterministic, versioned rules. The language model may describe those outputs; it may not originate them. This is enforced by service topology and credential separation, not by prompt design.
Deterministic
Criteria engine, dosing rules, eligibility, interaction checks — versioned and regression-tested.
Generative
Narrative drafting and synthesis over cited findings. May restate and explain; may not originate a call.
Human
Inspect, edit, reject, sign. Sole holder of clinical authority.
See the engine on your cases.
Whether you are a clinical programme, a research group or a partner building on the engine.