Data Science Leaders Podcast: Overcoming the data challenges of AI-driven drug discovery

BioLizard’s Volodimir Olexiouk joins Domino Data Lab’s Data Science Leaders podcast to discuss overcoming data challenges in AI-driven drug discovery and how combining biology with data science drives smarter, faster R&D in life sciences.

Volodimir Olexiouk, our Director of Scientific Engagement and Data Science Team Lead, was featured in episode 70 of Domino Data Lab‘s Data Science Leaders podcast.

In this episode, host Kjell Carlsson speaks with Volodimir about best practices for overcoming the data challenges for AI-driven drug discovery and combining scientific expertise with data science for augmented intelligence in the life sciences.

Listen to the whole episode now →

Want to learn more about how leveraging artificial intelligence can support your research & development activities? Check out our white paper about how you can use machine learning to develop better biomarkers – a powerful tool for de-risking drug discovery projects.

The Business of AI in Biotech: Why biotech is moving beyond the chatbox

The Business of AI in Biotech: Why biotech is moving beyond the chatbox

AI has quickly become part of everyday biotech research, helping scientists navigate information, write code and make sense of complex data. But chat-based tools have their limits. They can provide answers and guidance, but they cannot always do the actual scientific work. As biotech moves beyond the chatbox, the next step is putting AI to work directly within research workflows.