Uploaded May 2025 | Updated September 2026, 2 weeks ago
Tune in to hear Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, share insights from the PHUSE US Connect conference and her work applying AI/ML in neuroscience trials. Jing discusses the challenges of introducing bias through data engineering and the critical role of sensitivity analyses in ensuring model robustness and patient safety.
In this episode, you will learn:
– How machine learning can help address high placebo response and attrition in neuroscience clinical trials.
– Why traditional statistical models struggle with high-dimensional clinical data.
– Key regulatory frameworks (GxP, GMLP) for ensuring AI/ML models meet compliance standards in drug development.
...and more!
Click the episode link right above the description to watch the full video!
Tune in to hear Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, share insights from the PHUSE US Connect conference and her work applying AI/ML in neuroscience trials. Jing discusses the challenges of introducing bias through data engineering and the critical role of sensitivity analyses in ensuring model robustness and patient safety.
In this episode, you will learn:
– How machine learning can help address high placebo response and attrition in neuroscience clinical trials.
– Why traditional statistical models struggle with high-dimensional clinical data.
– Key regulatory frameworks (GxP, GMLP) for ensuring AI/ML models meet compliance standards in drug development.
...and more!
Click the episode link right above the description to watch the full video!
