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Melody A Shahsavarian
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Jun 9, 2026
Episode: 86 - PANEL DISCUSSION: Near-Term Challenges for ML/AI in Biotherapeutic R&D
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10:17Peter TessierMODERATOR
Nelly, do you have any thoughts on that, or more broadly, what's working and what's, you know, where is the biggest gap right now?

Melody ShahsavarianGUEST
What's-- has, you know, proven to work is this triaging step where we can, uh, we can implement AI both for, uh, you know, predicting attributes that we're looking for the molecules as well as better-- having better diversity based on structure prediction.

Melody ShahsavarianGUEST
To your question of, you know, has it-- do we have proof of this working? I'll mention that we did actually this study.

Melody ShahsavarianGUEST
It's, it's a few years, it's, it's before my time, that this AI-enabled sort of intelligent triaging mech-- workflow has been established in the discovery organization in Lilly, and they did a study to look at molecules that get to development and their sort of success rate.

Melody ShahsavarianGUEST
And significantly, the, the number of, uh, you know, uh, surprises or, or liabilities that development gets has been reduced, uh, during this time.
17 MINS LATER
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28:17Peter TessierMODERATOR
Melody, do you have thoughts on data different than that's been shared already or different areas we should think about?