The solution

VRM: Vital Risk Model

60+ years of engineering risk analysis, applied to biology for the first time. Build the logic. Test it. Trace every output to its source.

See the process ↓
SIMPLIFIED VRM STRUCTURE Disease Risk (Top Event) Why it breaks What matters most What if you act TP53 BRCA1 KRAS .91 .47 .73 ADME Eff. Tox. CTD GEO KEGG traceable to source at every layer
Process

Four steps. No black boxes.

01 READ

Ingest biological evidence

Genes, proteins, pathways from KEGG, CTD, RGD, GEO and published literature. LLM extracts structured relationships. Human experts validate every connection.

02 MODEL

Build risk architecture

Disease decomposed to the gene level: why it breaks, what matters most, where uncertainty lives. Drug interactions modeled through absorption, distribution, metabolism, excretion.

03 SIMULATE

Run interventions

Every branching outcome gets a probability: what happens if you act, what succeeds, what fails, what causes harm. Billions of scenarios, traced to logic.

04 VERIFY

Trace every output

Every number traces to a specific gene, paper, or database entry. Nothing is a black box. Built for regulatory audit from day one. FDA MIDD-aligned.

Outputs

What comes out.

Target Ranking

Every molecular target ranked by quantified impact on disease risk. Not opinions. Importance measures traced to published evidence.

PRIMARY OUTPUT

Scenario Comparison

Drug A vs B vs combo. Full branching outcomes.

Failure Maps

Minimal molecular failure combinations.

Risk vs Benefit

Success, partial, failure, harm with confidence.

Uncertainty Map

Where the model is weakest. Where data matters most.

What-If

Change any input, see the full cascade.

Decision support

Your question. VRM's answer.

Every decision in drug development can be framed as a risk question. VRM gives you the logic to answer it.

Select a question above.

Who's building this?

Team & Applications →