In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...
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In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...
Episode: 11 - Cell Therapy Strategies: Preparing for Commercial Manufacturing of an Autologous Cell Therapy
Evaluating Biopharma
21 minutes
2 years ago
Episode: 11 - Cell Therapy Strategies: Preparing for Commercial Manufacturing of an Autologous Cell Therapy
In this episode of Evaluating Biopharma, host Ben Locwin, Vice President of Project Solutions at Black Diamond Networks, speaks with Jonathan Tsang, Senior Director, Manufacturing Sciences & Technology at Kite Pharma, who shares his experiences and provides advice on how autologous cell therapy companies can better prepare for commercial manufacturing, including: addressing the challenge of variability of patient cell behavior, process development characterization using healthy donor vs. ...
Evaluating Biopharma
In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...