This whitepaper presents a smart solution that leverages artificial intelligence (AI) and knowledge graph technology to refine the process of target identification and selection in drug discovery. We explore the benefits of using AI algorithms, the value of knowledge graphs, and the integration of Large Language Models (LLMs) and generative AI (genAI) in accelerating the drug discovery journey.
About the author:
Martina Markova is Ontotext’s Product Manager of Target Discovery and Business Analyst in Ontotext’s Life Sciences and Healthcare department. She brings experience from both the clinical and preclinical drug development phases. She has helped top pharma companies, CROs, academia, and biotech startups in their journeys to leverage cutting-edge digital technologies successfully.
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