Language carries nuance.
Arabic, English and mixed clinical narratives require context-aware extraction and reviewer confirmation — not blind keyword matching.
AI-ASSISTED PHARMACOVIGILANCE
A connected workspace for drug-safety teams. Investigate Arabic and English reports, explore signals and document expert review with traceable evidence.
02 / INSIDE THE WORKBENCH · REFERENCE BETA
Follow an investigation through intake, signal review, biological context and expert assessment. These reference captures show the workflow using demonstration data.
01 / BILINGUAL CLINICAL INTAKE
Review candidate drugs and events against the original Arabic or English narrative. Confirm context, negation and terminology before moving into investigation.
EVIDENCE TO REVIEW: Source text · Entity spans · Assertion and timing · Terminology decisions
Four reference captures connect the original report, signal context, supporting evidence and the reviewer’s assessment.
The Beta illustrates the workflow. Model performance, security controls and deployment readiness need scope-specific validation; no regulatory approval is implied.
Discuss your reporting languages, data sources, review process and deployment requirements.
DISCUSS YOUR USE CASE ↗REFERENCE CAPTURES · NO LIVE PATIENT DATA · REQUEST A GUIDED WALKTHROUGH ↗
NOT EVERY PATTERN IS A CAUSE.
NOT EVERY QUESTION HAS AN EASY ANSWER.
A case narrative, a statistical signal and a biological explanation often live in separate tools. NAWA brings them into one investigation, with the source and the reviewer’s reasoning in view.
DISCOVER OUR APPROACH ↗NAWA I-VIG / THE INVESTIGATION PROCESS
Language, signals and molecular context don't prove a cause. They form a structured path to questions qualified experts can investigate and sign off.
Read Arabic and English reports in context. Review drugs, events and negation against the original words.
RCSB STRUCTURE 2F9Q ↗EVIDENCE CHAIN OF CUSTODY
Follow the source, method, biological context, timing, prioritization and human review behind an assessment.
Trace a finding back to its source identity, transformation history and versioned context. Knowing where evidence came from is the first step to understanding what it can support.
A CONNECTED RESEARCH WORKSPACE
NAWA connects the questions that traditional workflows can leave scattered — while keeping a sharp distinction between a computational result, evidence and a human decision.
Arabic, English and mixed clinical narratives require context-aware extraction and reviewer confirmation — not blind keyword matching.
Investigate timing, persistence and reporting changes without turning spontaneous reports into incidence or causal estimates.
Mechanistic evidence can challenge a hypothesis, surface contradictions and reveal gaps. Plausibility never substitutes for causal proof.
OUR SCIENTIFIC PRINCIPLE
Because trust is built by showing what you know — and what you don't.
THE NAWA PRINCIPLES
Clear sources. Explicit uncertainty. Accountable reviewers. Evaluation should establish which capabilities and controls are qualified for your intended use.
Structured review, rationale and approvals remain with accountable experts.
Source identity and evidence lineage travel with the investigation, not as an afterthought.
Signals, hypotheses, causal estimates and regulatory decisions are different kinds of claims.
Customer-governed deployment is a design priority. Security, data flows and operating controls are assessed for each evaluation scope.
WHO WE ARE BUILDING FOR
Move between safety cases, emerging patterns and reviewable evidence.
Explore mechanisms, uncertainty and the provenance of scientific claims.
Inspect decisions, supporting records and human accountability.
NAWA I-VIG / SCIENTIFIC PHARMACOVIGILANCE
CHOOSE THE CONVERSATION
Evidence-led pharmacovigilance, with human judgement at the center. Prefer a direct conversation?
contact@nowaivik.com