The rise of artificial intelligence in healthcare

Access to data, repetition and continued testing are preconditions for machine learning and – with the breadth and depth of data it consumes – the medical and healthcare industry provides AI with plenty of practice. Public health also happens to be where AI can make the most difference in terms of clinical need and cost-effectiveness of treatments. This of course is balanced with a need for rigorous testing because we're talking about human health rather than lower-stakes activities like gaming. As most biotech companies know, ethical and clinical testing is foundational to ensuring the safety of a therapy before it is unleashed on the public. COVID-19 taught us that population-level health solutions are the way of the future and AI, which works best at scale, can be used to optimise and speed up research and drug development and assist in the deployment of mass public health interventions.