The AI in Business Podcast Using Artificial Intelligence to Unlock Hidden Insights in Genomic Research - with Dr. Mark Kiel of Genomenon
Nov 24, 2025
Dr. Mark Kiel, Chief Science Officer and Founder at Genomenon, discusses how AI is revolutionizing genomic research and precision medicine. He explains the value of clinical literature as a source of real-world data for drug development and diagnostics. Mark highlights challenges in converting this data into actionable insights and introduces advanced AI techniques for prioritizing research. He emphasizes the importance of human curation in validating AI outputs and envisions a future where automated tasks streamline processes, especially for rare diseases.
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Literature Is Rich Real-World Data
- Clinical literature already contains granular, de-identified real-world patient journeys useful for R&D and diagnostics.
- These records include demographics, genotypes, labs, treatments, and outcomes aggregated by clinicians.
Volume And Complexity Prevent Manual Scaling
- The main barrier is volume and heterogeneity: millions of pages and varied article types hinder manual review.
- Manual scaling limits what teams can ask, so many questions remain unanswerable without AI.
Adopt Genomics-Specific NLP And Ontologies
- Use specialized genomic NLP to find and extract genes, variants, phenotypes, and patient data from literature.
- Reconcile extracted entities to standard ontologies and build knowledge graphs for retrieval and discovery.