We can cure almost all human diseases. Here’s how. | Albert-László Barabási

This interview is an episode from @the-well, our publication about ideas that inspire a life well-lived, created with the @JohnTempletonFoundation.

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The Human Genome Project was a major breakthrough in medicine, but according to network scientist Albert-László Barabási, simply having a list of genes is not enough to fully understand how they interact, and crucially, how our bodies work. Barabási believes network science — which studies complex patterns and interactions between our cells — can fill in this gap by creating a biological map from which we could develop new cures, and even predict diseases.

He explains that disease genes often have mutations that result in a missing interaction within the sub-cellular network, which then causes problems in the functioning of a cell. Traditional medicinal interventions can lead to unwanted side effects, as they also affect other cellular processes in the network; network medicine has revealed that these complex systems, though robust, are also fragile to attacks, and removing a few major hubs can break the network into tiny pieces.

Understanding the structure of the network within our cells can allow for precise interventions that cure the problem without causing other issues. For Barabási, the ideal future of medicine would involve individualized network diagrams being adopted as a standard tool for doctors to show patients where mutations are, how they impact the rest of the cell, and how interventions can stop their effects.

0:00 The map of life: Human Genome Project
1:01 What is network medicine?
2:09 The Achilles’ heel
4:20 A new kind of doctor will emerge

Read the video transcript ► https://bigthink.com/the-well/the-cure-for-everything/?utm_source=youtube&utm_medium=video&utm_campaign=youtube_description

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About Albert-László Barabási:
Albert-László Barabási is a network scientist, fascinated with a wide range of topics, from unveiling the structure of the brain and treating diseases using network medicine to the emergence of success in art and how science really works. His research has helped unveil the hidden order behind various complex systems using the quantitative tools of network science, a research field that he pioneered, and has led to the discovery of scale-free networks, helping explain the emergence of many natural, technological, and social networks.

Barabási is a Fellow of the American Physical Society. He is the author of The Formula (Little Brown), Network Science (Cambridge), Bursts (Dutton), and Linked (Penguin). He co-edited Network Medicine (Harvard, 2017) and The Structure and Dynamics of Networks (Princeton, 2005). His books have been translated into over twenty languages.

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