Emma Lundberg: AI Virtual Cells could revolutionize biological science

Biology and artificial intelligence (AI) are coming together to fundamentally change the way we do biological science, writes Stanford and SciLifeLab researcher Emma Lundberg and colleagues in a recent perspective article published in Cell, where Emma Lundberg is the corresponding author.

On top of this, spatial proteomics was recently chosen as Method of the Year by Nature Methods, “for its critical role in revealing the organization of complex tissues”, a method Professor Lundberg has been working with for a long time, not least within the Human Protein Atlas program, mapping all proteins in the human body.

In this interview, Emma Lundberg gives her views on virtual cells; spatial proteomics – its past, present and future; atlas building, why cilia are so hard to map and more.

By building AI virtual cells (AIVC), computer models of human cells made using AI and large amounts of biological data. These virtual cells could help us understand how cells work and predict what happens inside them. Making it easier to develop new drugs and to study diseases.

0:18 What is spatial proteomics?
1:33 How have you used spatial proteomics?
1:58 Why do you make big atlases?
2:41 Why has spatial proteomics been chosen as Method of the Year by Nature?
3:36 What's next within spatial proteomics?
4:33 What's next for you within spatial proteomics?
5:36 What's a spatial model of a human cell, a virtual cell?
7:38 When will we see a virtual cell?
9:06 What's the challenges with creating a virtual cell?
10:35 You have recently launched "SubCell", what is that?
11:46 How does SubCell differ from a virtual cell?
14:30 You have expanded the Human Protein Atlas with a section dedicated to cilia?

Here's a written article about the perspective article in Cell about AI virtual cells: https://www.scilifelab.se/news/ai-vir...

The perspetive article itself in cell: https://www.sciencedirect.com/science...

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