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Forecasting Health with AI - A Deep Dive into the Delphi-2M AI Transformer Model for Health Records

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Manage episode 507105944 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Shmatko, A., Jung, A.W., Gaurav, K. et al. Learning the natural history of human disease with generative transformers. Nature (2025).

Link to paper: https://www.nature.com/articles/s41586-025-09529-3

What if an AI could forecast your health like the weather? A groundbreaking new model called Delphi-2M, published in Nature, claims to do just that — predicting your risk for over 1,000 diseases using technology similar to ChatGPT.

But is this the dawn of a new era in preventive medicine, or a high-tech crystal ball that reflects the biases of our current system?

In this week's episode of The Health AI Brief, we put Delphi-2M through a real-world stress test. We break down the impressive science, interrogate its biggest weakness (generalisability), and define the critical next step needed before a tool like this could ever see the light of day in the NHS.

Tune in to find out if this is a future game-changer or a promising idea that's not quite ready for primetime.

#HealthAI #DigitalHealth #PredictiveMedicine #AIinHealthcare #GenerativeAI #NHS #Delphi2M #FutureofMedicine #UKBiobank #ai in medicine Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

47 episodes

Artwork
iconShare
 
Manage episode 507105944 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Shmatko, A., Jung, A.W., Gaurav, K. et al. Learning the natural history of human disease with generative transformers. Nature (2025).

Link to paper: https://www.nature.com/articles/s41586-025-09529-3

What if an AI could forecast your health like the weather? A groundbreaking new model called Delphi-2M, published in Nature, claims to do just that — predicting your risk for over 1,000 diseases using technology similar to ChatGPT.

But is this the dawn of a new era in preventive medicine, or a high-tech crystal ball that reflects the biases of our current system?

In this week's episode of The Health AI Brief, we put Delphi-2M through a real-world stress test. We break down the impressive science, interrogate its biggest weakness (generalisability), and define the critical next step needed before a tool like this could ever see the light of day in the NHS.

Tune in to find out if this is a future game-changer or a promising idea that's not quite ready for primetime.

#HealthAI #DigitalHealth #PredictiveMedicine #AIinHealthcare #GenerativeAI #NHS #Delphi2M #FutureofMedicine #UKBiobank #ai in medicine Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

47 episodes

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