MedDiscovery API transforms medical research questions into comprehensive, evidence-based hypotheses. Powered by 9-phase AGI pipeline and 13 scientific databases.
Transform months of literature review into minutes of actionable insights
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.
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.
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.
Don't just get ideas - get actionable protocols. SPIRIT-compliant study designs, statistical plans, risk registers, and endpoint definitions ready for your lab.
Our AGI learns from every hypothesis generated. The more it runs, the smarter it becomes at finding novel therapeutic connections and avoiding failed approaches.
Your research queries are never used for training. SOC 2 compliant infrastructure, encrypted in transit and at rest. HIPAA-ready for clinical applications.
A sophisticated multi-agent system that thinks like a team of expert researchers
Scans 13 scientific databases simultaneously: PubMed, ClinicalTrials.gov, KEGG pathways, ChEMBL compounds, UniProt proteins, STRING interactions, and more.
Fine-tuned biomedical language model extracts entities, relationships, and semantic meaning from scientific literature with domain expertise.
The "breakthrough finder" - discovers unexpected connections across medical domains. Links mechanisms from cardiology to oncology, neurology to immunology.
The "skeptic" agent challenges every claim. Validates causal chains, identifies assumptions, and flags contradictory evidence.
The "outsider" thinks about thinking. Challenges fundamental assumptions and proposes paradigm-shifting alternative framings.
Grades all evidence by quality: Meta-analyses (T1), RCTs (T2), Cohort studies (T3), Preclinical (T4). Transparent provenance tracking.
Generates SPIRIT-compliant experimental protocols, statistical analysis plans, sample size calculations, and risk mitigation strategies.
Autonomous ethics review: Checks for patient safety concerns, regulatory requirements, and research ethics compliance.
Synthesizes everything into a clear, clinician-friendly explanation with executive summary, mechanism details, and next steps.
Trusted by pharmaceutical companies, biotech startups, and research institutions
Accelerate drug discovery pipelines by generating novel therapeutic hypotheses and identifying drug repurposing opportunities.
Validate scientific assumptions rapidly, identify white space opportunities, and build evidence-backed pitch decks for investors.
Literature review automation, grant proposal hypothesis generation, and identification of underexplored research directions.
Offer hypothesis generation as a value-added service to your clients. White-label API integration available.
Start free, scale as you grow. No hidden fees.
Simple REST API. Generate your first hypothesis in under 5 minutes.
# 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"
| 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 |
{
"id": "hyp_abc123xyz",
"status": "pending",
"poll_url": "/api/v1/hypotheses/hyp_abc123xyz",
"estimated_time": "3-5 minutes",
"webhook_configured": true
}
{
"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"]
}
}
{
"organization": "Pharma Corp",
"tier": "business",
"billing_period": "2025-12",
"hypotheses": {
"used": 847,
"limit": 2000,
"remaining": 1153
},
"rate_limits": {
"per_minute": 60,
"per_hour": 1000
}
}
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
| 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 |
Get your API key in seconds. Start generating hypotheses immediately.
Questions? Email us at api@medresearch-ai.org