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: 9 - Gene Therapy Analytics: Identifying and Overcoming CMC Challenges in Gene Therapy
Evaluating Biopharma
24 minutes
2 years ago
Episode: 9 - Gene Therapy Analytics: Identifying and Overcoming CMC Challenges in Gene Therapy
In this episode of Evaluating Biopharma, Ben Locwin, Vice President of Project Solutions at Black Diamond Networks, speaks with Susan D'Costa, Chief Technology Officer at Alcyone Therapeutics, who shares her experiences and provides advice on how your company can identify and overcome CMC challenges in gene therapy, including: understanding and monitoring DNA constructs, identifying starting material challenges, prioritizing potency assays, and the impact of viral vector delivery and developm...
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...
