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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: 15 - Facing CMC Challenges in CDMO-Sponsor Relationships for Rare Disease Platforms with Nesredin Mussa
Evaluating Biopharma
19 minutes
1 year ago
Episode: 15 - Facing CMC Challenges in CDMO-Sponsor Relationships for Rare Disease Platforms with Nesredin Mussa
In this month’s episode of Evaluating Biopharma, host Ben Locwin speaks with Nesredin Mussa, PhD, president of Dynamica Biologics, about navigating the challenges of securing successful CDMO-sponsor relationships for a rare disease manufacturing and testing paradigm, the key contributing factors that may pose within the partnership between the sponsor and CDMO, and how small companies can manage with the enhanced regulatory demands due to the nascent nature of these particular therapeutic pla...
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...