Pharma Domain Pack — ψ-stack for drug discovery
Phase-semantic configuration for pharmaceutical research. Encodes trial data, mechanisms, outcomes and regulatory signals into ψ-patterns for high-precision retrieval.
Pharma Domain Pack
Configure the ψ-stack for pharmaceutical research, safety monitoring, and regulatory review. Make clinical language, constraints, and exceptions first-class signals — then retrieve the trials, safety narratives, and guidance you actually need, without losing nuance.
In pharma, retrieval errors are expensive. Missing one contraindication or misreading an exception can distort an assessment. This pack is built to keep those “meaning flips” visible, so evidence review stays precise and defensible over large bodies of scientific and regulatory text.
Available as an add-on to EchoThesis and ResonanceDB.
Capabilities
This pack doesn’t replace your data or models. It configures how the ψ-stack encodes and retrieves pharmaceutical material so domain terminology and stated relationships behave as first-class signals in search and review.
Pharmacology vocabulary
Encode drug names, targets, classes, mechanisms, and interaction language as they appear in real literature and reports. Preserve cautions, contraindications, and uncertainty markers so retrieval stays consistent under negation, qualifiers, and clinical phrasing.
Clinical outcomes & safety
Track how endpoints, adverse events, dosing, cohorts, and risk factors are expressed across trials and safety narratives. Pull together evidence that matches the outcome logic — not just similar wording — to accelerate review and reduce blind spots.
Regulatory material
Work cleanly over filings, guidance, and post-authorisation material. Surface the passages that answer a case-specific question while keeping conditions, exceptions, scope limits, and “only if” clauses intact for inspection.
Deployment
Enable the Pharma Domain Pack in EvaCortex Lab cloud deployments, or deploy it on-prem / in a private VPC. Extend it with custom curation to cover proprietary compounds, internal trial corpora, and organisation-specific terminology — then keep your retrieval behaviour stable as your knowledge base grows.