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AI and quantum computing join forces to crack the code of life

This "physics-guided AI" approach promises deeper insights than current methods

26-Jan-2024

Key points from article :

Researchers propose using AI and quantum computing to understand aging and disease.

They believe this "physics-guided AI" approach can unlock insights beyond current AI methods.

Current AI struggles with complex biological interactions at different scales and they need to consider everything from molecules to organs, while also processing massive datasets like the 1000 Genomes Project.

Quantum computing, with its superpowered qubits, could handle these complexities. Qubits can be 0 and 1 at the same time, allowing for vastly faster calculations and simulations.

Major advances in quantum computing are happening, like IBM's new utility-scale and modular processors.

Scientists need to consider "emergent characteristics," where smaller parts interact to create new properties on a larger scale.

Understanding these interactions is key to unraveling aging and disease.

This research is being done by Insilico Medicine, a company using AI for drug discovery.

They published their findings in WIREs.

Mentioned in this article:

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Insilico Medicine

Biotechnology company that uses artificial intelligence to develop new drugs and for aging research

Wiley Interdisciplinary Reviews (WIREs)

Interdisciplinary reviews in science

Topics mentioned on this page:
AI in Healthcare, Ageing Research
AI and quantum computing join forces to crack the code of life