HCAISep 19, 2025

A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations

arXiv:2509.16454v11 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

This addresses data exploration challenges for biomedical researchers, though it appears incremental as it builds on existing visualization and AI techniques.

The researchers tackled biomedical data discovery by combining generative AI with grammar-based visualizations to create an interactive dashboard, demonstrating its utility through a case study.

We explore the potential for combining generative AI with grammar-based visualizations for biomedical data discovery. In our prototype, we use a multi-agent system to generate visualization specifications and apply filters. These visualizations are linked together, resulting in an interactive dashboard that is progressively constructed. Our system leverages the strengths of natural language while maintaining the utility of traditional user interfaces. Furthermore, we utilize generated interactive widgets enabling user adjustment. Finally, we demonstrate the potential utility of this system for biomedical data discovery with a case study.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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