Overview
TrialNexus is an AI-native clinical trial recruitment platform built to solve one of medicine's hardest problems: finding the right patients for the right trials, fast.
Pharmaceutical companies lose millions every month when trials recruit slowly. Clinicians spend hours manually reviewing patient records. TrialNexus automates both sides.
At its core, TrialNexus uses Google Gemini multimodal embeddings to encode both MRI brain scan images and clinical text together into a single vector, enabling semantic patient search that understands medical context — not just keywords. Patients are ranked by match percentage against trial inclusion/exclusion criteria.
Phase 2 Lab Screening goes deeper: an AI agent runs each candidate through a structured SQL-based eligibility gate, automatically disqualifying patients who fail criteria and explaining exactly why — with full lab detail visible on click.
The Commercial Intelligence module runs a 4-agent pipeline using Server-Sent Events for real-time streaming. It synthesizes competitive landscape data, KOL insights, site feasibility, and market opportunity into a downloadable report — powered by Featherless.ai's Qwen2.5-72B model.
The entire stack is self-hosted: FastAPI backend, React 18 frontend, and Elasticsearch 8 running on Vultr — fully deployed via Docker Compose on Coolify with zero cloud lock-in.
TrialNexus turns weeks of manual patient screening into seconds of AI-assisted matching.
Note: the demo URL is substituted with the GitHub repository link.
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