Jun 15, 2026 · 36 min · 14 segments
Artificial intelligence is reshaping clinical research, but its impact extends far beyond automation. In this episode of ACRO’s Good Clinical Podcast, host Sophia McLeod is joined by Paulo Limgenco…
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Michael TuckerGuestPaulo LimgencoGuest
Sophia McLeodHost
[gentle music] All right, so I am joined today by Paulo and Michael, and we are here to talk all things AI and sustainability.

I think this is a really interesting combination of topics, so I'm really excited to talk to the both of you today.

And I think you're both at two ACRO member companies who are doing a lot of really great work in this space.

So I already just said it, but really excited to talk with you guys about this today.

Back in 2025, Y Prime won an Environmental Excellence Award for embedding sustainability into clinical trial workflows using digital platforms like eCOA, iRT, and eConsent.

Metadata was doing a lot of great stuff in this space, also unveiling advancements to your study experience solutions at Scope, which is quite a big conference.

So a lot of people were hearing about this, um, you know, really highlighting the work that you guys are doing on using AI-driven protocol optimization aimed at reducing timelines and also operational complexity across clinical trials.

[gentle music] All right, so I am joined today by Paulo and Michael, and we are here to talk all things AI and sustainability.

I think this is a really interesting combination of topics, so I'm really excited to talk to the both of you today.

And I think you're both at two ACRO member companies who are doing a lot of really great work in this space.

So I already just said it, but really excited to talk with you guys about this today.

Back in 2025, Y Prime won an Environmental Excellence Award for embedding sustainability into clinical trial workflows using digital platforms like eCOA, iRT, and eConsent.

Metadata was doing a lot of great stuff in this space, also unveiling advancements to your study experience solutions at Scope, which is quite a big conference.

So a lot of people were hearing about this, um, you know, really highlighting the work that you guys are doing on using AI-driven protocol optimization aimed at reducing timelines and also operational complexity across clinical trials.
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