Trust

GaiaLab

Melanoma IO Resistance · Translational Evidence Infrastructure
Interaction Network · 4D Timeline · Ensemble Signal Convergence
Structured evidence audits mapping anti-PD-1 resistance mechanisms. 54 databases with per-claim PMID traceability and reproducible snapshot architecture.
SAE Health: checkingā€¦
17
Curated data sources integrated
3
Validation domains (interactions ā€¢ disease associations ā€¢ drug targets)
2.4M+
Bioactive compounds profiled
~60s
Typical analysis time
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Voice Intelligence

Natural language commands with AI processing. Say "analyze TP53 in cancer" and watch advanced AI analysis happen in real-time.

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WebXR AR/VR Visualization

First biological intelligence platform with WebXR support. Explore 3D protein structures in virtual reality with controller-based molecular interaction.

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Real-Time Collaboration

Multiple researchers analyzing together with expert consensus weighting, live hypothesis validation, and collective insight generation.

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Lightning Performance

Multi-tier intelligent caching: Hot/Warm/Cold with Redis. Instant cached responses, fast fresh analysis. 200x faster than manual literature review.

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Predictive Intelligence

AI predicts optimal research trajectories using real-time PubMed data and protein functions with success probability scoring.

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AI Research Assistant

Intelligent chat interface answering questions about genes, pathways, drugs, and research strategies with context-aware responses and citations.

Trust Scoreboard

Citation Coverage
94%
Stability Score
8.7/10
Contradiction Rate
2.1%
Avg Trust Score
8.9/10
Latest evaluation: High confidence across 17+ data sources
About

About GaiaLab

GaiaLab compresses weeks of biological literature review into minutes by synthesizing 17+ curated sources with explicit confidence scoring and contradiction flags. Every result is traceable to primary evidence and can be replayed via reproducible snapshots.

Decision support, not automation ā€” built for transparency and auditability.

17+
Curated sources integrated
60s
Average analysis time
3
Cross-validation domains

Origin Story

Built to give independent researchers and small biotech teams the same evidence depth as large labs, without the cost or delay of manual synthesis.

Mission

Make biological intelligence accessible, reproducible, and evidence-first so scientists move from hypothesis to validation faster.

Principles

  • Evidence: cite primary sources and show confidence tiers.
  • Reproducibility: snapshot every run with inputs, versions, and scoring.
  • Human-in-the-loop: decision support and auditability, not automation.

Methods & Scoring

  • Confidence tiers from cross-source agreement and study design.
  • Contradiction notes and controversy callouts where evidence diverges.
  • Evidence ledger with PMID-level traceability and scoring context.
  • Reproducible snapshots capture inputs, versions, and model settings.

See a Sample Snapshot

Download a saved snapshot report with evidence, scoring, sources, and metadata.

Download sample snapshot Load the sample inputs

Includes reproducible inputs, data sources, and model config details.

šŸŽÆ Try Example Queries

60s Breast Cancer Walkthrough

  • Load TP53/BRCA1/EGFR inputs
  • Review evidence ledger + contradictions
  • Export the reproducible snapshot

Neurodegeneration Trust Pass

  • Analyze APP/PSEN1/APOE
  • Inspect BBB + immune context tags
  • Compare with prior snapshot

KRAS Network Deep Dive

  • Load KRAS/NRAS/BRAF
  • Explore 3D network hubs
  • Review top pathway mechanisms

šŸš€ Analyze Your Genes

Enter 2-5 gene symbols and a disease context to get instant biological insights with interactive 3D protein networks, pathway enrichment, therapeutic strategies, and recent literature synthesis.
Enter 2-5 gene symbols separated by commas (UPPERCASE recommended)
Be specific! "breast cancer" not just "cancer"
Disable for faster development runs.

šŸ§¬ Analyzing Your Genes...

Fetching data from multi-source biological databases in parallel...

Cross-validating protein interactions, disease associations, and drug targets...

Generating interactive 3D protein interaction network...

AI synthesis in progress (60-90 seconds)...

Preparing analysis...
šŸ¤– GaiaLab AI Assistant
Ask anything about your genes
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Hi! I'm your AI research assistant. I can help you understand your gene analysis results, explain protein interactions, suggest research directions, and more.

Try asking:
ā€¢ "What's the relationship between APP and APOE?"
ā€¢ "Which genes are druggable targets?"
ā€¢ "Explain the p53 pathway"