Uploaded May 2025 | Updated September 2026, 2 weeks ago
In our latest episode, we sit down with Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, to unpack takeaways from the PHUSE US Connect conference and her work applying machine learning in neuroscience research.
We talk about how ML can help reduce placebo response and attrition, why traditional statistical models often fall short with high-dimensional clinical data, and how regulatory frameworks like GxP and GMLP are shaping the future of #AI in drug development. Jing also shares thoughtful strategies for strengthening collaboration across biostatistics, clinical, and data science teams.
Click the episode link right above the description to watch the full video!
In our latest episode, we sit down with Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, to unpack takeaways from the PHUSE US Connect conference and her work applying machine learning in neuroscience research.
We talk about how ML can help reduce placebo response and attrition, why traditional statistical models often fall short with high-dimensional clinical data, and how regulatory frameworks like GxP and GMLP are shaping the future of #AI in drug development. Jing also shares thoughtful strategies for strengthening collaboration across biostatistics, clinical, and data science teams.
Click the episode link right above the description to watch the full video!
