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İçerik Evaluating Biopharma tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Evaluating Biopharma veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Episode: 06 - Process Intensification: PAT, AI, ML to Support Intensified Bioprocessing

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İçerik Evaluating Biopharma tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Evaluating Biopharma veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Arthi Narayanan, innovation team leader of pharma technical operations at Genentech, and John Bonham-Carter, board member and VP of business development and product management at Erbi Biosystems, discuss how process analytical technology, artificial intelligence, and machine learning support intensified bioprocessing and improve inefficiencies. Narayanan talks about the expected outcomes predictive modeling will likely produce in the coming years, why data is the “power” of bioprocessing, and how to leverage predictive modeling to accelerate tech transfer. She also discusses the importance of accepting and trusting new technologies, the mindset surrounding data and employee acquisition that often leads to success, and how to manage workforce integration.
Links from this episode:
Evaluating Biopharma
Genentech
Erbi Biosystems

Evaluating Biopharma boiler: Evaluating Biopharma taps into the insight and experience of biopharmaceutical leaders so today’s decision makers can leverage their knowledge, learn from their successes, and avoid repeating similar mistakes. This series offers a new guest and moderator with each episode and aims to equip executives and science leaders with the necessary information to make better business and process decisions. The Evaluating Biopharma podcast is a reproduction of content originally presented at recent Evaluating Biopharma digital and educational networking events.

  continue reading

24 bölüm

Artwork
iconPaylaş
 
Manage episode 355382042 series 3394448
İçerik Evaluating Biopharma tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Evaluating Biopharma veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Arthi Narayanan, innovation team leader of pharma technical operations at Genentech, and John Bonham-Carter, board member and VP of business development and product management at Erbi Biosystems, discuss how process analytical technology, artificial intelligence, and machine learning support intensified bioprocessing and improve inefficiencies. Narayanan talks about the expected outcomes predictive modeling will likely produce in the coming years, why data is the “power” of bioprocessing, and how to leverage predictive modeling to accelerate tech transfer. She also discusses the importance of accepting and trusting new technologies, the mindset surrounding data and employee acquisition that often leads to success, and how to manage workforce integration.
Links from this episode:
Evaluating Biopharma
Genentech
Erbi Biosystems

Evaluating Biopharma boiler: Evaluating Biopharma taps into the insight and experience of biopharmaceutical leaders so today’s decision makers can leverage their knowledge, learn from their successes, and avoid repeating similar mistakes. This series offers a new guest and moderator with each episode and aims to equip executives and science leaders with the necessary information to make better business and process decisions. The Evaluating Biopharma podcast is a reproduction of content originally presented at recent Evaluating Biopharma digital and educational networking events.

  continue reading

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