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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: 12 - The Risks and Rewards of Speed-to-IND Strategies With Susan Jones
Evaluating Biopharma
19 minutes
2 years ago
Episode: 12 - The Risks and Rewards of Speed-to-IND Strategies With Susan Jones
What are some strategies that companies can use to get to IND filing quickly? In this brand new conversation, Evaluating Biopharma podcast host Ben Locwin discusses the risks and rewards of speed-to-IND strategies with Susan Jones, Chief Technology Officer at Tourmaline Bio. Susan delves into her 30 years of experience in the biotech industry, how quality by design impacts IND filing, and the pitfalls of using platform approaches to accelerate early development. Finally, she shares some case ...
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...