Hardware Podcasts

7. Diagnosing Alzheimer’s At A Glance, The Stress You Sweat, Bloom’s Better Bioplastics

The Next Byte Podcast · 2 Mar 2021 · 22m

AI in practice: one real use of AI described

What this episode covers

Hosts Daniel Scott Mitchell and Farbod Moghaddam discuss three innovations: Duke University's AI model for early Alzheimer's detection via retinal imaging, EPFL and Xsensio's graphene-based sweat sensor for cortisol monitoring, and Bloom Biorenewables' method for producing high-performance bioplastics from biomass. The episode highlights how these technologies address diagnostic limitations, mental health tracking, and the environmental impact of petroleum-based plastics.

AI in practice

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

Engineering & simulation123 healthy vs 36 Alzheimer's patients

The AI model was trained on retinal photos to detect Alzheimer's by identifying decreased vein density, enabling earlier diagnosis than invasive methods.

“They trained this AI model. that looked at the density of veins in the back of your eyes using photos, so they had 123 people, no Alzheimer's, healthy retinas, lots of veins, 36 people diagnosed with Alzheimer's, and they had a lower density of veins in their retina.”

Speaker 1 · Hear it at 2:15

Most relevant to

makers and hobbyists, founders before launch and early-stage companies

Topics

Mentioned

Companies
Duke University, EPFL, Xsensio, Bloom Biorenewables
Products
Apple Watch, Aura Health Ring
Materials
graphene
Also
Dr. C. Ellis Wisely

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