83. Ultrasound Scanning Stickers & Autonomous Protein Discovery

The Next Byte Podcast · 16 Aug 2022 · 32m

AI in practice: one real use of AI described

What this episode covers

Hosts Daniel and Forbode discuss an MIT innovation: a postage-stamp-sized ultrasound sticker featuring rigid transducers embedded in elastomer layers to maintain image quality and hydration during long-term wear. They then examine a Princeton and Rutgers collaboration that uses machine learning and Hamilton M Star liquid handling robots to autonomously discover stable protein interactions, accelerating drug and material development. The hosts highlight how this automation solves trial-and-error bottlenecks in chemistry, enabling the discovery of molecules far more effective than human-designed ones.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationExpanded catalog to 500,000 molecules

Machine learning was used to identify viable chemical candidates by training on 1,500 combinations of 500 molecules and 3 proteins, allowing the system to predict interactions for 500,000 molecules without explicit training on the larger set.

“The 1st ingredient was this machine learning, the other way that they're helping attack this challenge is actually physical automation. So the 1st part was kind of intellectual automation, right? Teaching a machine to learn and to think the way that we would do to try and solve the problem.”

Speaker 2 · Hear it at 20:22

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early-stage companies

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Mentioned

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MIT
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Hamilton M Star

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