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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: 22 - Insider’s Advice for Starting, Growing, Exiting a Biotech
Evaluating Biopharma
35 minutes
1 year ago
Episode: 22 - Insider’s Advice for Starting, Growing, Exiting a Biotech
In this month’s episode of Evaluating Biopharma, host Ben Locwin and Chris Major, founder and partner of BioProcess360 Partners, discuss the best ways to start a company to address technology gaps, why it is beneficial to collaborate with competitors (instead of going against each other), and the challenges encountered when planning to de-risk portfolios in advance. Major also talks about how he approaches funding, the best practices and lessons he learned about time-to-exit strategies, and h...
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...