The pharmaceutical and life sciences industry runs on innovation, evidence, accuracy, and speed. Yet the biggest opportunities often remain hidden across thousands of public data sources-scientific literature, clinical trial registries, regulatory filings, patents, health statistics, and real-world digital signals.
Brainy Plus specializes in transforming this vast, unstructured public data into R&D-grade, strategy-grade, and commercial-grade intelligence that supports faster, smarter decisions across the pharma value chain.
R&D & Pipeline Intelligence
Emerging Target & Disease Mechanism Insights
Datasets: PubMed, preprints, patents, competitor R&D updates
Use Cases:
• Identify novel therapeutic targets
• Spot white spaces for competitive advantage
• Predict competitor R&D trajectories
Value: Automated literature mining, expert validation, patent landscape mapping, early discovery intelligence.
Clinical Trial Landscape Intelligence
Datasets: ClinicalTrials.gov, EudraCT, WHO, conferences
Use Cases:
• Benchmark trial designs
• Identify patient pools and trial geographies
• Predict regulatory success
Value: Real-time tracking dashboards, feasibility insights, recruitment analysis, competitor alerts.
Market & Commercial Intelligence
Demand, Epidemiology & Opportunity Forecasting
Datasets: Health statistics, outbreak data, social discussions
Use Cases:
• Predict disease incidence and therapy demand
• Find new market opportunities
• Enhance commercial strategy
Value: Trend forecasting, launch prioritization, real-world perception insights.
Regulatory & Launch Intelligence
Datasets: FDA, EMA, MHRA, press releases, investor reports
Use Cases:
• Track regulatory shifts and approvals
• Monitor competitor launches
Value: Automated scanning, compliance risk alerts, global launch mapping.
KOL Mapping
Datasets: Publications, scientific talks, physician networks
Use Cases:
• Identify influential experts
• Understand scientific viewpoints
Value: Dynamic KOL scorecards, influence and relationship mapping.
Operational & Safety Intelligence
Toxicology & Safety Prediction
Datasets: ChEMBL, DrugCentral
Use Cases:
• Predict ADMET issues early
• Prevent late-stage failures
Value: ML-powered toxicity scoring and chemical similarity analysis.
Pharmacovigilance & Real-World Safety Monitoring
Datasets: AE reports, patient forums, social media
Use Cases:
• Detect adverse events early
• Track real-world safety sentiment
Value: NLP-powered AE detection and post-market surveillance dashboards.
Partner With BrainyPlus
If your platform needs richer, cleaner, real-time Pharma & Life Sciences Intelligence, BrainyPlus is ready to collaborate and enhance your capabilities.
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