Up until the early 20th century, more people died during infancy than at any other stage of life.^[1][2] Innovations in public health and medicine sparked a longevity revolution that saw significant and quick increases in life expectancy at birth, which was followed by reductions in early-age mortality and loss-of-life improvements at middle/older ages.^[1][2]

This longevity revolution in human society is a treasured achievement but one that holds important implications for societal, health and economic policies. By 2042, a large increase in the global centenarian population is predicted (this being the 100-year anniversary of the beginning of the post-World War II baby boom).^[2] As they age, people accumulate more medical conditions, which can require complex treatments and increase demand for healthcare services with ever decreasing budgets.^[3] However, healthier, longer lives have potential benefits for the economy, and it is possible to offset the negative economic effects of an ageing society.^[4]

This article explores how AI tools can analyse health data and help with disease prevention.