Breaking Eroom’s Law: Can AI Finally Speed Up Drug Discovery?
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In March, I’ll be hosting Douglas Selinger from Plex Research on Tech and Drugs - Podcast. We will dive into the future of AI-driven drug discovery. His latest work introduces a breakthrough framework that could redefine how we find new drugs: by combining Knowledge Graphs, Large Language Models (LLMs), and AI-driven automation.
💡 What’s the challenge?
Drug discovery is drowning in data. Despite having more biomedical information than ever, identifying new drug candidates is still slow and costly. The Plex Research team tackles this by making AI work smarter—not just harder.
🔬 Their solution?
They developed Focal Graphs, a next-gen knowledge graph approach that:
✅ Filters massive datasets to find the most relevant drug-target connections.
✅ Uses AI to autonomously generate & refine hypotheses.
✅ Works with LLMs to ensure scientific rigor and explainability (no black box magic here).
📊 Results so far?
🔹 Identified new drug targets using AI-driven prioritization.
🔹 Uncovered disease mechanisms through multi-omics analysis.
🔹 Predicted drug repurposing opportunities faster than traditional methods.
🔹 Improved safety assessment & precision medicine strategies.
💭 The Future?
Douglas and his team envision a world where AI autonomously plans & executes entire drug discovery programs, integrating with robotics for self-directed research. A true AI-first approach to biotech.
🚀 Want to know more? Tune in to the podcast episode in March!
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