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Using knowledge graphs in drug discovery (Part 1): how they link to large language models

21 April 2025 | By ,

In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.

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The evolution of AI in drug discovery: learning from history’s mistakes (Part 2)

24 March 2025 | By ,

In this second part of a two-part series, we continue Sujeegar Jeevanandam’s exploration of the future of AI in drug discovery. We share his vision for transformative AI applications, such as simulating human pharmacokinetics and pharmacodynamics, and offer strategic recommendations for biotechs looking to adopt AI.