Prepare
Remove names, dates, record numbers, addresses, and other direct identifiers. Use a filtered genomic excerpt.
A TRANSPARENT RESEARCH PIPELINE
RDK does not preload a diagnosis or pretend to know the answer. It waits for an authorized researcher to provide de-identified inputs, then displays only what the live OpenAI analysis returns.
Open the workspace โ
Remove names, dates, record numbers, addresses, and other direct identifiers. Use a filtered genomic excerpt.
Type one de-identified case description. A VCF or phenotype file is optional and can strengthen the evidence.
The server sends the authorized excerpts to OpenAI, requests structured output, and searches current scientific sources.
Challenge every ranking, rationale, source, limitation, and validation requirement before research use.
When genomic data is supplied: gene, variant notation, predicted consequence, model-assigned evidence score, confidence label, and evidence. Without genomic data, RDK leaves this section unranked rather than inventing variants.
A concise case summary, a mechanism explanation, and a visual gene-to-mechanism map generated from the same response.
Each direction includes its title, mechanistic rationale, evidence level, and the exact experimental or clinical validation the model says is still required.
Clickable sources, source relevance, limitations, model name, response identifier, token usage, and the model's own research disclaimer.