Toxicology Domain Pack — ψ-stack for exposure & risk

Wave-semantic configuration for toxicology. Encodes exposure data, mechanistic pathways and adverse responses into ψ-patterns for structured risk assessment.

Toxicology Domain Pack

Configure the ψ-stack for toxicology, pharmacovigilance, and safety research. Encode safety narratives and regulatory text as ψ-patterns so dose language, endpoints, thresholds, and qualifiers stay visible during retrieval — not flattened into “similar-looking” matches.

Safety review is dominated by nuance: exposure context, exclusions, “no effect” statements, and uncertainty. This pack is built to keep those meaning switches intact, so evidence review stays precise and defensible across reports, studies, and guidance documents.

Available as an add-on to EchoThesis and ResonanceDB.

Capabilities

This pack doesn’t replace your models or data. It configures how the ψ-stack encodes and retrieves toxicology-focused material so domain terminology and stated relationships behave as first-class signals in search and review.

Dose & endpoint language

Preserve exposure conditions, dose ranges, endpoints, and thresholds — including qualifiers like “no observed effect”, “not significant”, and conditional statements. Retrieve what matches the claim structure, not just the topic.

Adverse events & safety narratives

Pull together organ-specific effects, adverse event language, and safety narratives across studies and reports. Keep negation and uncertainty explicit so “ruled out” stays distinct from “confirmed”.

Regulatory & guidance text

Navigate guidance documents and safety disclosures with qualifiers intact. Surface passages that match the exact conditions, exceptions, and required constraints behind a safety question.

Deployment

Enable the Toxicology Domain Pack in EvaCortex Lab cloud deployments, or deploy it on-prem / in a private VPC alongside your safety and regulatory workflows. Extend it with custom curation to cover proprietary assays, internal terminology, and safety datasets — then keep retrieval behaviour stable as your corpus evolves.

Request access