One of our key solution proposed is an AI-driven clinical trial matching system, designed to streamline and enhance the patient-trial selection process.
A Smarter, Scalable Approach
Our solution integrates:
- A custom neural network to evaluate patient eligibility with precision.
- Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to extract, analyze, and contextualize complex medical data.
- AI-powered agents to orchestrate trial matching for both real-time decision-making and batch processing, ensuring efficiency at scale.
Transforming Clinical Trials
By automating and optimizing patient-trial matching, our AI-driven approach:
- Accelerates patient recruitment, reducing time-to-trial.
- Enhances accuracy in identifying suitable candidates.
- Improves accessibility, ensuring the right patients receive the right opportunities.
At Innings2, we believe AI is the key to a more efficient, accessible, and data-driven healthcare future—where technology enhances patient outcomes and drives medical advancements.