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GEN Podcasts

Genetic Engineering & Biotechnology News (GEN) has retained its position as the premier biotech publication since its launch in 1981.

Podcast · By Genetic Engineering & Biotechnology News (GEN) · English · Official site

Indexed episodes, last 90 days
3
Latest publication
Sep 9, 2026
Audience
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Earliest in this view
Jul 27, 2026

Latest episodes

  1. Episode · Sep 9, 2026

    Data Integrity as the Foundation for AI (opens the original)

    Episode notes · Positive tone

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    Artificial intelligence is advancing quickly into laboratory operations, which is why thinking about the quality and integrity of the supporting data early on is important. In regulated environments, that means understanding where the data came from, how it changes, and how AI-generated insights or recommendations can be traced, reviewed, trusted, and ultimately defended. In this GEN podcast, LabVantage’s Gary Stimson digs into what it takes to build a data foundation for trustworthy AI. The dis

  2. Episode · Aug 19, 2026

    Small Molecules, Big Expectations: How CDMOs Are Helping Sponsors Navigate Complexity, Speed, Scale-Up, and Sustainability (opens the original)

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    Small molecules continue to play a major part in pharmaceutical development, but increasing molecular complexity, accelerated timelines, and evolving manufacturing and regulatory requirements are creating new challenges for the industry. In this GEN Podcast – part 2 in a 3-part series -- a trio of experts from SK Pharmteco discuss how CDMOs are helping biopharma companies navigate critical areas including scale-up, technology transfer, advanced manufacturing, automation, sustainability, the emer

  3. Episode · Jul 27, 2026

    Beyond the Technology: AI Readiness in Regulated Laboratories (opens the original)

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    This episode establishes the broader context for AI adoption. Rather than focusing on AI tools themselves, the discussion explores what laboratories must have in place before AI can be applied responsibly. Key discussion areas include: Why fragmented workflows and disconnected systems limit AI effectiveness The importance of trusted, connected laboratory data Human-guided AI and human-in-the-loop governance Why compliance and auditability should be built into AI-enabled workflows from the outset

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