Learn How the Biomarker Discovery Agent Reduced Screen Failures by 50%
The Challenge
The client aimed to enhance the accessibility and usability of complex biomarker data for their non-technical users. Recognizing the potential to streamline their analytical processes, they sought an innovative solution to simplify data queries and insights extraction. The objective was to empower users with a conversational interface that would allow them to easily navigate and connect with their data ecosystem, thereby optimizing their operational efficiency and decision-making capabilities.
Our Solution
To overcome challenges in biomarker research data exploration, Agilisium implemented the advanced "BioMarker Discovery Agent", powered by goal-based agents, driving impactful outcomes through three core components.
Large Language Models (LLMs)
Enables intuitive natural language processing to convert user queries into SQL commands for seamless database interaction.
Summarized Results
Executes complex queries on client databases, presenting insights in an accessible, user-friendly format.
AI Model Refinement
Continuously improves system accuracy and relevance via iterative user feedback and metadata-driven fine-tuning.
The Outcomes
Agilisium’s "Insights Generation" solution has empowered non-technical staff to independently access, query, and analyze data, significantly accelerating decision-making and reducing reliance on data specialists.
50% Reduction in screen failure rates
Enhanced biomarker-driven patient selection ensures higher enrollment success.
30% Expedited recruitment timelines
AI-powered matching accelerates patient identification and trial enrollment.
40% Reduction in protocol amendments
Data-driven insights optimize trial design, minimizing costly modifications.