We often think of ageing as a natural, inevitable process. However, viewed biologically, ageing is the world's leading cause of death and suffering. That's because it's the main cause of the world's biggest killers, like cancer, heart disease and dementia. The good news is that we can rise to the challenge with science: diets, drugs and genetic changes are just some of dozens of ways we have to slow and even reverse the ageing process in the lab, and some ideas—like the removal of aged ‘senescent’ cells—are already making their way into human trials. Computational science will be essential to fulfil the incredible promise of this field: from data analysis, to machine learning, to systems biology, to artificial life. And a deeper, data-driven understanding of the ageing process could lead to the greatest revolution in the history of medicine—one that has the potential to improve billions of lives, save trillions of dollars, and transform the human condition.

This content is only available as a PDF.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.