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Evaluating Biopharma
Evaluating Biopharma
24 episodes
1 month ago
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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Life Sciences
Science
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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...
Show more...
Life Sciences
Science
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Episode: 8 - The Financial Impact of a Continuous Bioprocessing Strategy
Evaluating Biopharma
20 minutes
2 years ago
Episode: 8 - The Financial Impact of a Continuous Bioprocessing Strategy
Joseph Shultz, VP and technical head of biologics and vaccines at Resilience, and John Bonham-Carter, board member and VP of business development and product management at Erbi Biosystems, discuss the financial considerations biopharma companies face when implementing a continuous strategy. Shultz talks about the mindset of the senior leadership at Amgen—and then Novartis—that lead to the eventual adoption of a new bioprocessing system and how their strategies benefit multiple teams within a ...
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...