ClinicalTrial OS is an open-source AI platform that analyzes 5,000+ real clinical trials from ClinicalTrials.gov. It provides: 🧠 Protocol Intelligence 📈 Recruitment Prediction 🏥 Site Selection ⚠️ Trial Risk Prediction ✅ ICH-GCP Compliance 💊 Pharmacovigilance using FDA FAERS data 📊 Analytics across 10 diseases 100% Free • 100% Open Source • Python + Streamlit

I built ClinicalTrial OS because clinical trials fail too often due to problems that AI can solve. 50% of trials fail due to recruitment. Sites are chosen badly. Protocols have errors nobody catches. I spent 4 days building a tool that analyzes 5000+ real trials using AI — completely free and open source. Would love feedback from anyone working in clinical research or drug development. Live: https://clinicaltrial-os.streaml...

Hi Product Hunt! 👋

I built ClinicalTrial OS because planning a clinical trial still depends on expensive enterprise tools or hours of manual searching on ClinicalTrials.gov. I wanted researchers, students, small biotechs and CRO teams to get trial intelligence for free, from real public data.

What it does today:

🔍 Search 4,785 trials by drug, sponsor, condition or NCT ID, with full trial details

📍 Rank 20,000+ real trial sites across 124 countries on a world map

📈 Benchmark recruitment timelines from similar completed trials

⚠️ Estimate early-stop risk (model accuracy shown openly, not hidden)

✅ 23-point registry quality check for any trial

🧠 Break down eligibility criteria and compare complexity with peer trials

💊 FDA adverse event reports (FAERS)

📄 One-click PDF trial reports

Everything is built on ClinicalTrials.gov and FDA data, every model explains its method and limitations, and it's fully open source (MIT).

It's for research and education, not medical advice.

I'd love your feedback:

- Which feature would you actually use in your work?

- What data or disease areas should I add next?

GitHub: https://github.com/sahilabid9593-cloud/clinicaltrial-os

Thanks for checking it out! 🙏