The trend toward digital transformation in biopharmaceutical manufacturing continues as advanced technologies enter the scene and work their way through to manufacturing operations. With the availability of technologies to take automated biomanufacturing from preclinical to commercial-scale, the industry may start to see a wave of changeovers from manual processes to an automated, digital environment. This episode of the Drug Solutions Podcast will discuss the realities of switching over from manual to digital, and what to expect.

Digital Transformation in the Biopharma Industry

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Casey Lippmeier, Vice President of Innovation at Conagen sits down with Angelique Burke, vice president of fragrances at Sensegen to discuss the art of leveraging biotechnology and perfumery: a natural alternative solution to fragrance creativity and product development. Learn more about Sensegen's fragrances made by biotech at sensegen.com.

Sensegen's Biotech Fragrances

Casey Lippmeier, Vice President of Innovation at Conagen sits down with Casey McCormick, Sweegen's Vice President of Global Innovation to discuss Sweegen's portfolio of taste optimization technologies for the food and beverage industry.

Sweegen's Taste Optimization Technologies

"In This Episode"
In this episode of Katalysts, the host interviews Michael (Mike) Burton, an expert in biopharma and drug development, about the industry's evolution, challenges, and the impact of AI on manufacturing processes. Burton discusses his career transition from life sciences operations to health tech, highlighting the increasing complexity and costs of biologics and vaccines compared to simpler drugs in the past.

The discussion covers the technological lag in the sector, impacts of mergers and acquisitions, and the prevalent use of outdated tools. Real-world examples illustrate issues like temperature-sensitive manufacturing across continents and the rise of contract manufacturing. The conversation emphasizes the transformative potential of AI in optimizing manufacturing, with real-time data analysis and pattern recognition significantly enhancing yields and efficiencies. Katalyze AI is highlighted as a key player in leveraging AI to bring substantial value to the manufacturing space.

 

"Revolutionize Your Biomanufacturing with Katalyze AI"
Experience how Katalyze AI’s platform can transform your operations by enhancing yield, improving traceability, and reducing cycle times across your biopharma processes.

"Here’s What You Can Achieve"
* Up to 8% Yield Increase: Minimize deviations and optimize quality with AI-powered digital twins tailored to your processes.
* 40% Faster Batch Release: Streamline raw material quality control by automating data consolidation and specification checks.
* Save Up to 4 Hours on Investigations: Leverage a unified source of truth for raw material and process data to quickly identify root causes and draft reports.

"Get Your Free Demo Today"
Curious about how Katalyze AI can elevate your manufacturing operations? Fill out the form, and our team will provide a tailored demonstration to discuss solutions specific to your needs.

"Key Features Include"
* More Than 10+ out-of-the-box Integrations
* Access to Katalyze AI's Large Biologic Models
* Science-Backed Yield and Quality Improvement

Book Your Free Demo Now: https://katalyzeai.com/contactus

Revolutionizing Biomanufacturing with AI: A Conversation with Michael Burton

Conversations with bio visionaries and thought leaders on innovation in biotechnology, synthetic biology and biomanufacturing across food, beverage, nutritional, industrial materials, beauty and personal care spaces.

The Drug Solutions Podcast, presented by Pharmaceutical Technology, features industry experts from across the pharmaceutical and biopharmaceutical supply chain. Join the editors as the experts share insights into your biggest questions—from the technologies, to strategies, to regulations related to the development and manufacture of drug products.
To learn more, visit https://www.pharmtech.com

New tracks tagged #Biomanufacturing