Extending Human Lifespans: Using Artificial Intelligence To Find Anti-Aging Chemical Compounds


The University of Surrey has built an artificial intelligence (AI) model that identifies chemical compounds that promote healthy aging -- paving the way towards pharmaceutical innovations that extend a person's lifespan. In a paper published by Nature Communication's Scientific Reports, a team of chemists from Surrey built a machine learning model based on the information from the DrugAge database to predict whether a compound can extend the life of Caenorhabditis elegans -- a translucent worm that shares a similar metabolism to humans. The worm's shorter lifespan gave the researchers the opportunity to see the impact of the chemical compounds. "Ageing is increasingly being recognized as a set of diseases in modern medicine, and we can apply the tools of the digital world, such as AI, to help slow down or protect against aging and age-related diseases. Our study demonstrates the revolutionary ability of AI to aid the identification of compounds with anti-aging properties."

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