Platform Overview

One Analytical Environment for Benefit-Risk Assessment

ArcaScience integrates three modules — Data Intelligence, Decision Intelligence, and Automated Outputs — into a single validated platform that takes benefit-risk assessment from raw data to regulatory-ready deliverables.

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Six Stages. Three Modules. One Continuous Workflow.

Every benefit-risk assessment follows the same validated pipeline — from data ingestion through regulatory output. Each stage feeds directly into the next with full traceability.

1. Data Ingestion 2. Data Processing 3. Signal Detection 4. Benefit-Risk Analysis 5. Decision Intelligence 6. Regulatory Outputs
Data Intelligence

1. Data Ingestion

Automated ingestion from clinical trial databases, FAERS, EudraVigilance, VigiBase, published literature (PubMed, Embase), and client proprietary data sources. Continuous feed with versioned snapshots.

Data Intelligence

2. Data Processing

MedDRA coding, deduplication, data harmonization across heterogeneous sources. NLP extraction from unstructured narratives. Standardized output to the AS Profiling Base of 100+ billion data points.

Decision Intelligence

3. Signal Detection

Disproportionality analysis, temporal pattern recognition, and multi-source signal corroboration using proprietary AI models. Continuous monitoring with configurable alert thresholds.

Decision Intelligence

4. Benefit-Risk Analysis

Structured BRAT framework application with effects tables, value trees, and quantitative weighting. Multi-criteria decision analysis (MCDA) with sensitivity analysis and scenario modeling.

Decision Intelligence

5. Decision Intelligence

24 proprietary AI models synthesize evidence into structured benefit-risk conclusions. Comparative effectiveness evaluation, subpopulation analysis, and lifecycle-aware recommendations.

Automated Outputs

6. Regulatory Outputs

Submission-ready documents: PSUR/PBRER, Risk Management Plans, CTD Module 2.5, HEOR reports, and signal detection summaries. Formatted for FDA, EMA, and PMDA requirements.

Data Intelligence

100B+ data points from 15+ sources, continuously harmonized

Decision Intelligence

24 proprietary AI models with BRAT, MCDA, and PrOACT-URL frameworks

Automated Outputs

PSUR, RMP, CTD 2.5, HEOR — formatted for FDA, EMA, PMDA

Data Intelligence

Data Intelligence Engine

The foundation of every analysis. The AS Profiling Base aggregates, harmonizes, and maintains 100+ billion data points from every major pharmacovigilance and clinical data source — updated continuously, versioned for reproducibility.

100B+

Data points analyzed

15+

Integrated data sources

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AS Profiling Base

The largest integrated pharmacovigilance dataset available for benefit-risk analysis. Structured clinical trial data, spontaneous adverse event reports, published literature evidence, and real-world data — in a single, queryable environment with full provenance tracking.

Data Sources

FAERS (FDA), EudraVigilance (EMA), VigiBase (WHO-UMC), PubMed, Embase, ClinicalTrials.gov, client CSR databases, CPRD, Optum, MarketScan, and proprietary real-world evidence feeds. New sources are onboarded within 2 weeks.

Harmonization Engine

Automated MedDRA coding, cross-source deduplication, NLP extraction from unstructured case narratives, and standardized ontology mapping. All transformations are auditable with full data lineage tracking from raw source to analytical output.

BRAT Framework

Full Benefit-Risk Action Team framework implementation with structured decision trees, effects tables, and value trees. Compliant with FDA and EMA guidance on structured benefit-risk assessment methodologies. Transparent visualization of benefit-risk trade-offs for regulatory communication.

Multi-Criteria Decision Analysis (MCDA)

Quantitative benefit-risk evaluation with configurable criteria weighting, stochastic sensitivity analysis, and scenario modeling. Supports swing weighting, SMAA (Stochastic Multi-criteria Acceptability Analysis), and preference-based approaches used by HTAs globally.

24 Proprietary AI Models

Domain-specific models trained on pharmacovigilance and pharmacoepidemiology data — not general-purpose LLMs applied to healthcare. Covers signal detection, causal inference, comparative effectiveness, NLP extraction, risk quantification, and predictive safety modeling.

Decision Intelligence

Decision Intelligence

Where data becomes structured evidence. The Decision Intelligence module applies regulatory-aligned frameworks, quantitative methods, and 24 proprietary AI models to generate defensible benefit-risk conclusions at every stage of the drug lifecycle.

24

Proprietary AI models

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Automated Outputs

Regulatory-Grade Automated Outputs

Not dashboards. Submission-ready documents formatted for FDA, EMA, and PMDA — generated directly from your analysis with full traceability from data point to regulatory conclusion. 50+ submissions accepted by regulatory authorities.

50+

Regulatory submissions accepted

Explore Outputs

PSUR / PBRER

Automated Periodic Safety Update Reports and Periodic Benefit-Risk Evaluation Reports with integrated data tables and signal summaries.

Risk Management Plans

EU-GVP Module V compliant RMPs with safety specification, pharmacovigilance plan, and risk minimization measures.

CTD Module 2.5

Clinical Overview for regulatory submission with integrated benefit-risk summary, comparator analysis, and regulatory-aligned conclusions.

HEOR Reports

Value dossiers, HTA submission packages, comparative effectiveness summaries, and payer communication materials.

Signal Detection Reports

Continuous signal monitoring summaries with disproportionality metrics, temporal trends, and recommended actions. Configurable reporting cadence — weekly, monthly, or event-triggered. Full audit trail for regulatory inspection readiness.

How ArcaScience Compares

ArcaScience replaces fragmented tooling, manual processes, and consulting-led engagements with one integrated, validated platform.

Capability ArcaScience Manual BRA CROs Point Solutions
Integrated data-to-output pipeline Yes — end-to-end No — Excel, SAS, Word Partial — siloed deliverables No — single-stage tools
Domain-specific AI models 24 proprietary models None Generic / off-the-shelf 1-2 task-specific
Integrated data points 100B+ continuously updated Client data only Project-scoped Single-source
Time to BRA completion Weeks 12-18 months 6-12 months N/A — partial output only
Regulatory-ready outputs PSUR, RMP, CTD 2.5, HEOR Manual Word documents Consultant-authored Dashboards / raw data
Full lifecycle coverage Phase I through post-marketing Per-project scope Per-engagement scope Single phase / function
21 CFR Part 11 audit trail Yes — full traceability Limited / manual Varies by CRO Rarely
Consistent methodology Validated, reproducible Analyst-dependent Varies by team Tool-dependent
FDA 21 CFR Part 11 Compliant GDPR Compliant ISO 27001 Certified HDS Certified HIPAA Compliant

ArcaScience is validated to FDA 21 CFR Part 11 requirements with full electronic signature support, complete audit trails, and role-based access controls. Data residency options available for EU (GDPR/HDS) and US (HIPAA) regulatory compliance.

Security & Compliance Details

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