๐Ÿงฌ AGI-Powered Medical Research

Break Through Research Dead Ends with AI

MedDiscovery API transforms medical research questions into comprehensive, evidence-based hypotheses. Powered by 9-phase AGI pipeline and 13 scientific databases.

50-70
Evidence Sources Per Hypothesis
13
Scientific Databases
9
AGI Pipeline Phases
3-5
Minutes Per Hypothesis

What MedDiscovery Does For You

Transform months of literature review into minutes of actionable insights

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Break Through Dead Ends

When conventional research hits a wall, our cross-domain reasoning finds unexpected connections. We've linked Parkinson's treatments to diabetes mechanisms and Alzheimer's interventions to gut microbiome pathways.

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Evidence-Based Innovation

Every hypothesis is backed by 50-70 peer-reviewed sources with transparent quality tiers. No black-box AI - you see exactly which studies support each claim and why.

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10,000x Faster Discovery

What takes a research team months of literature review, our AI completes in 3-5 minutes. Simultaneous analysis of PubMed, ClinicalTrials.gov, KEGG, ChEMBL, and more.

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Lab-Ready Protocols

Don't just get ideas - get actionable protocols. SPIRIT-compliant study designs, statistical plans, risk registers, and endpoint definitions ready for your lab.

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Self-Learning System

Our AGI learns from every hypothesis generated. The more it runs, the smarter it becomes at finding novel therapeutic connections and avoiding failed approaches.

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Enterprise Security

Your research queries are never used for training. SOC 2 compliant infrastructure, encrypted in transit and at rest. HIPAA-ready for clinical applications.

The 9-Phase AGI Pipeline

A sophisticated multi-agent system that thinks like a team of expert researchers

1

๐Ÿ” Exhaustive Learning

Scans 13 scientific databases simultaneously: PubMed, ClinicalTrials.gov, KEGG pathways, ChEMBL compounds, UniProt proteins, STRING interactions, and more.

2

๐Ÿงฌ BioBERT Analysis

Fine-tuned biomedical language model extracts entities, relationships, and semantic meaning from scientific literature with domain expertise.

3

๐ŸŒ Cross-Domain Mapping

The "breakthrough finder" - discovers unexpected connections across medical domains. Links mechanisms from cardiology to oncology, neurology to immunology.

4

โš–๏ธ Causal Interrogation

The "skeptic" agent challenges every claim. Validates causal chains, identifies assumptions, and flags contradictory evidence.

5

๐Ÿ”ฎ Meta-Reasoning

The "outsider" thinks about thinking. Challenges fundamental assumptions and proposes paradigm-shifting alternative framings.

6

๐Ÿ“Š Evidence Tiering

Grades all evidence by quality: Meta-analyses (T1), RCTs (T2), Cohort studies (T3), Preclinical (T4). Transparent provenance tracking.

7

โš—๏ธ Protocol Engineering

Generates SPIRIT-compliant experimental protocols, statistical analysis plans, sample size calculations, and risk mitigation strategies.

8

โš–๏ธ Ethics Validation

Autonomous ethics review: Checks for patient safety concerns, regulatory requirements, and research ethics compliance.

9

๐Ÿ“ Clinical Narrative

Synthesizes everything into a clear, clinician-friendly explanation with executive summary, mechanism details, and next steps.

Who Uses MedDiscovery API

Trusted by pharmaceutical companies, biotech startups, and research institutions

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Pharmaceutical R&D

Accelerate drug discovery pipelines by generating novel therapeutic hypotheses and identifying drug repurposing opportunities.

"Find novel approaches for treatment-resistant depression using glutamate modulation"
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Biotech Startups

Validate scientific assumptions rapidly, identify white space opportunities, and build evidence-backed pitch decks for investors.

"What are the most promising CAR-T targets for solid tumors beyond current approaches?"
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Academic Research

Literature review automation, grant proposal hypothesis generation, and identification of underexplored research directions.

"Explore the connection between TREM2 variants and microglial dysfunction in Alzheimer's"
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CRO & Lab Services

Offer hypothesis generation as a value-added service to your clients. White-label API integration available.

"Generate preclinical study design for novel KRAS G12C inhibitor combination therapy"

Simple, Transparent Pricing

Start free, scale as you grow. No hidden fees.

Developer
Let's Talk /month
  • 50 hypotheses per month
  • 1 API key
  • Standard mode (3-5 min)
  • JSON export
  • Community support
Get Started
Business
Let's Talk /month
  • 2,000 hypotheses per month
  • 10 API keys
  • All processing modes
  • Lab-ready protocols
  • Priority queue
  • Priority support (4hr response)
Get Started
Enterprise
Custom
  • Unlimited hypotheses
  • Unlimited API keys
  • Dedicated infrastructure
  • Custom model training
  • On-premise deployment option
  • Dedicated success manager
  • 99.9% SLA guarantee
Contact Sales

API Documentation

Simple REST API. Generate your first hypothesis in under 5 minutes.

โšก Quick Start

# Generate a hypothesis
curl -X POST https://medresearch-ai.org/api/v1/hypotheses/generate \
  -H "Content-Type: application/json" \
  -H "X-API-Key: md_live_your_api_key_here" \
  -d '{
    "query": "Novel approaches for treating Alzheimer disease using TREM2 modulation",
    "mode": "standard",
    "include_protocol": true
  }'

# Poll for results (use the ID from the response)
curl https://medresearch-ai.org/api/v1/hypotheses/hyp_abc123xyz \
  -H "X-API-Key: md_live_your_api_key_here"

๐Ÿ“š API Reference

POST /api/v1/hypotheses/generate Generate a medical hypothesis

Request Body

Parameter Type Required Description
query string Yes Medical research question (10-2000 chars)
domain string No Medical domain (auto-detected if omitted)
mode string No quick (30s), standard (3-5min), deep (10-15min)
include_protocol boolean No Include lab-ready experimental protocol
webhook_url string No URL for async completion notification
๐Ÿ“ค Response (202 Accepted)
{
  "id": "hyp_abc123xyz",
  "status": "pending",
  "poll_url": "/api/v1/hypotheses/hyp_abc123xyz",
  "estimated_time": "3-5 minutes",
  "webhook_configured": true
}
GET /api/v1/hypotheses/{hypothesis_id} Get hypothesis results
๐Ÿ“ค Response (200 OK - Completed)
{
  "id": "hyp_abc123xyz",
  "status": "completed",
  "created_at": "2025-12-29T10:30:00Z",
  "completed_at": "2025-12-29T10:34:12Z",
  "processing_time_seconds": 252,
  
  "hypothesis": {
    "title": "TREM2 Agonist Antibody for Microglial-Mediated Amyloid Clearance",
    "mechanism": "Enhancing TREM2 signaling promotes microglial phagocytosis of amyloid-ฮฒ plaques through DAP12/SYK pathway activation...",
    "molecular_targets": ["TREM2", "DAP12", "SYK", "PLCG2", "APOE"],
    "predicted_outcomes": [
      "Enhanced microglial phagocytic activity",
      "Reduced amyloid plaque burden",
      "Improved synaptic function"
    ],
    "feasibility_level": "AMBER",
    "innovation_score": 8.5
  },
  
  "evidence": {
    "total_sources": 67,
    "tier_breakdown": {
      "T1_meta_analysis": 3,
      "T2_rct": 8,
      "T3_cohort": 24,
      "T4_preclinical": 32
    },
    "key_sources": [
      {
        "pmid": "35123456",
        "title": "TREM2 Variants and Alzheimer's Disease Risk: A Meta-Analysis",
        "journal": "Nature Neuroscience",
        "year": 2023,
        "tier": "T1",
        "relevance_score": 0.94
      }
    ]
  },
  
  "reasoning": {
    "narrative": "The hypothesis emerges from converging evidence...",
    "causal_chain": [
      "TREM2 loss-of-function โ†’ Impaired microglial activation",
      "Impaired activation โ†’ Reduced phagocytosis",
      "Reduced phagocytosis โ†’ Amyloid accumulation"
    ]
  },
  
  "protocol": {
    "study_design": "Phase 2a Randomized, Double-Blind, Placebo-Controlled",
    "primary_endpoint": "Change in CSF sTREM2 levels at 12 weeks",
    "sample_size": 120,
    "duration_weeks": 24
  },
  
  "ethics": {
    "verdict": "APPROVED",
    "required_approvals": ["IRB", "FDA IND"]
  }
}
GET /api/v1/usage Get current usage statistics
{
  "organization": "Pharma Corp",
  "tier": "business",
  "billing_period": "2025-12",
  "hypotheses": {
    "used": 847,
    "limit": 2000,
    "remaining": 1153
  },
  "rate_limits": {
    "per_minute": 60,
    "per_hour": 1000
  }
}

๐Ÿฅ Supported Medical Domains

Domain is auto-detected from your query, but you can specify explicitly:

cardiology oncology neurology diabetes infectious_diseases genetics immunology nephrology pulmonology gastroenterology hematology rheumatology psychiatry dermatology ophthalmology

โš ๏ธ Error Codes

Code Error Description
401 invalid_api_key API key is missing, invalid, or expired
402 quota_exceeded Monthly hypothesis quota exceeded
403 feature_not_available Feature not available on your tier
429 rate_limit_exceeded Too many requests, retry after cooldown
404 not_found Hypothesis ID not found

Ready to Accelerate Your Research?

Get your API key in seconds. Start generating hypotheses immediately.

๐Ÿ“ง Request API Access ๐Ÿ“– Full Documentation

Questions? Email us at api@medresearch-ai.org