personalized-oncology-workflow

A personalized oncology workflow structures AI-assisted planning for veterinary neoplasia by guiding data intake, sequencing interpretation, neoantigen prioritization, and vaccine blueprinting. It requires veterinary oncologist oversight through human-in-the-loop governance checkpoints.

AI-assisted neoantigen prioritization is a species-aware process that identifies vaccine targets from sequencing data for canine patients. It structures the interpretation of advanced neoplasia data to build a therapy roadmap under explicit safety checkpoints.

The oncology workflow primarily supports dogs with advanced neoplasia and cautiously extends to cats. It applies species-aware data interpretation to tailor neoantigen identification, vaccine blueprinting, and risk checkpoints for each specific patient.

To start vaccine blueprinting, you need patient data and sequencing results. The workflow uses these inputs to initiate a safety-checked, stepwise plan that generates a structured therapy roadmap for the veterinary patient.

The veterinary oncology workflow does not operate autonomously; it enforces a human-in-the-loop requirement. A veterinary oncologist must provide oversight to ensure ethical and regulatory alignment throughout the structured decision pipeline.