Electrifying the Factory: Agentic AI For Faster Clinical Trials with Pamela Tenaerts episode artwork

EPISODE · May 13, 2026 · 49 MIN

Electrifying the Factory: Agentic AI For Faster Clinical Trials with Pamela Tenaerts

from Lab to Lives · host Ivanna Rosendal

Send us Fan MailThe clinical trial system is starting to look like a motorway at a standstill: more and more drugs are lining up, but the lanes ahead are already full. We sit down with Pamela Tenart to unpack why the industry may have reached the limit of human-only clinical development, and why “adding more people” is no longer a realistic plan when experienced CRAs, site co-ordinators and trial operators are already stretched thin.From there, we get practical about what agentic AI could change inside clinical trial operations. We talk about AI agents that can pull context across CTMS, EDC, safety reporting and TMF, helping monitors prepare for site visits, flag missing fields, propose next best actions, draft communications, and reduce the dead time where teams are simply waiting for updates. The point is not to automate judgement, but to automate the admin and co-ordination work so humans can focus on strategy, enrolment, quality, and patient safety with a clear audit trail and human-in-the-loop control.We also zoom out to the bigger bottleneck: sponsors, CROs and sites are part of one connected system, so optimising one party can just shift the pain elsewhere. Along the way we explore why better, more sensitive endpoints can shorten trial timelines, how policy and regulation might need to evolve, and a memorable metaphor from industrial history: electricity boosted individual productivity first, but factories only truly improved once they were rebuilt for the new technology.If you’re working in clinical research, drug development, biotech, or health tech, this conversation will help you think more clearly about where AI genuinely shortens the critical path and where it simply adds noise. Subscribe, share the episode with a colleague, and leave us a review. Which clinical trial workflow would you redesign first?Visit Labtolives.com Do you want to try the quiz from this episode? Find the link on our LinkedIn profile: https://www.linkedin.com/company/labtolives/ Would you like to join the show as a guest or collaborator? Find out how on our website: https://www.labtolives.com/ Support the show________Reach out to Ivanna RosendalJoin the conversation on our LinkedIn pageVisit www.labtolives.com HostsAlexander Booth aka the MedTech GuyDimitri Borisevich aka the start-up GuyIvanna Rosendal aka the R&D pharma Gal

Episode metadata supplied by the publisher feed · Published May 13, 2026

Embed this episode

Send us Fan Mail The clinical trial system is starting to look like a motorway at a standstill: more and more drugs are lining up, but the lanes ahead are already full. We sit down with Pamela Tenart to unpack why the industry may have reached the limit of human-only clinical development, and why “adding more people” is no longer a realistic plan when experienced CRAs, site co-ordinators and trial operators are already stretched thin. From there, we get practical about what agentic AI could ...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

Electrifying the Factory: Agentic AI For Faster Clinical Trials with Pamela Tenaerts

0:00 49:02

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Lab to Lives?

This episode is 49 minutes long.

When was this Lab to Lives episode published?

This episode was published on May 13, 2026.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Lab to Lives episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!