Agentic AI Drives State‑of‑the‑Art Genome Interpretation for Interstitial Lung Disease

Researchers present a case study using agentic AI for genome interpretation. The focus is on patients with interstitial lung disease (ILD). The AI system integrates the latest genomic databases. It automates variant prioritization and clinical relevance assessment. Results demonstrate improved diagnostic accuracy over manual methods. The study highlights the potential for AI‑assisted precision medicine. Limitations include the need for expert validation of AI outputs. Future work will test the approach on larger ILD cohorts.