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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: 18 - Bispecific Antibodies: What Are They? How Do They Work? An Expert's Thoughts
Evaluating Biopharma
23 minutes
1 year ago
Episode: 18 - Bispecific Antibodies: What Are They? How Do They Work? An Expert's Thoughts
In this episode of Evaluating Biopharma, host Ben Locwin speaks with Dr. Stefan Schmidt, CEO of evitria AG, about bispecific antibodies. Dr. Schmidt goes into detail about current trends (from a CRO’s perspective) regarding the discovery and development phases of bispecific antibodies, why they are being made, and potential manufacturing issues. He also discusses the future of bispecific antibodies and concerns over intellectual property immunity influencing consistency and production. ...
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...