The Challenge of Complex Diseases
Despite research advances, complex diseases such as Alzheimer's and cancer remain stubbornly unsolvable remain difficult to solve due to the wild complexity of the human cell.
1TED Talks Daily
Using AI to Decode the Complexity of the Human Cell
Silvana Konermann explains how a universal 'virtual cell' model could revolutionize drug discovery and treatment for complex diseases.
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The human cell is wildly complex. Can AI decode it? | Silvana Konermann
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The Virtual Cell Solution
Konermann proposes a universal 'virtual cell,' an AI model trained on a billion biological experiments, designed to read the language of human cells.
2Predicting and Fixing Biological Errors
This AI model aims to predict what is going wrong within cells and reveal how to fix these biological mechanisms.
2Transforming Drug Discovery
This approach could fundamentally change the methods used to discover new drugs and diseases are treated.
3Ask GenPod next
Keep the question moving.
“How does the 'virtual cell' model differ from traditional biological modeling?”
“What specific types of biological experiments were used to train the AI?”
“What are the potential limitations of using AI to decode cellular complexity?”
Background reading
The context behind the episode.
Context
The Audacious Project
This work is part of The Audacious Project, an initiative by TED designed to inspire and fund global change.
3Questions
Questions to carry into the episode.
What is the primary scientific problem Silvana Konermann is addressing?
The difficulty of solving complex diseases like Alzheimer's and cancer despite research advances.
1How is the 'virtual cell' model trained?
It is an AI model trained on a billion biological experiments.
2What is the intended outcome of decoding the language of human cells?
To predict what is going wrong biologically and reveal how to fix it.
2How might this technology impact medicine?
It could fundamentally change the way drugs are discovered and diseases are treated.
3Experts
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- Publisher show notes
Silvana Konermann and the team at Arc Institute are trying to crack one of science's most difficult problems: why complex diseases like Alzheimer's and cancer remain so stubbornly unsolvable, even as research advances.
- Publisher show notes
Her solution is a universal “virtual cell” — an AI model trained on a billion biological experiments that can read the language of human cells, predict what's going wrong and reveal how to fix it.
- Publisher show notes
In conversation with TED’s Chris Anderson, Konermann explores how this work could fundamentally change the way we discover drugs and treat disease. (This ambitious idea is part of The Audacious Project, TED’s initiative to inspire and fund global change.)
- Publisher show notes
Hosted on Acast. See acast.com/privacy for more information.
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