Health and Big Data: AI in the fight against cancer
Health and Big Data
Big Data has many applications in medicine, from clinical practice and research to epidemiological surveillance

Big Data has many applications in medicine, from clinical practice and research to epidemiological surveillance

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How can we predict the outcome of a treatment before testing it on a patient? How can we choose the best treatment for that patient? All of this relies on statistics and, in particular, on artificial intelligence to improve medicine tomorrow—and already today.

Technological advances in high-throughput sequencing make it possible to produce large volumes of biological data at lower cost and at different scales of living systems. The resulting massive datasets are both high-dimensional and heterogeneous.

The Covid-19 pandemic took the world by surprise, both through its virulence and the speed of its spread. A wealth of statistics, sometimes contradictory, has been published. Governments have introduced measures that often differ from one country to another. A range of medical treatments is being used. Can mathematics help us make the right decisions?

Insee trains its staff at three schools with admission by competitive examination: ENSAE, ENSAI and Cefil. Their multidisciplinary programs in statistics, economics and computer science prepare students for data careers.
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