Cambridge University

Data Science and Artificial Intelligence

Healthcare systems increasingly rely on information from data science and artificial intelligence to inform decision-making at the individual and public health levels. Genomic analyses have, for example, been invaluable for tracking SARS-CoV-2 variants in the Covid-19 pandemic, but data science is transforming healthcare in ways that many people do not even notice. In cancer care, for example, tools generated by artificial intelligence now allow oncologists to predict how tumours change in response to treatment — and to exploit those changes to more effectively fight the disease.

The applicability of data science and artificial intelligence goes far beyond disease, however: it can be used to evaluate, predict, and even help address just about everything in the healthcare sphere, from how healthcare systems function to how people talk about health.

The purpose of this theme is to use these increasingly important tools to guide the research of the Cambridge Public Health pillars, with the understanding that, as technology improves, data science and artificial intelligence will become increasingly pivotal in the delivery of healthcare — and to the people across the world that depend on optimal functioning of healthcare systems.

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