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Machine learning used on Mars analyses effect of cancer treatment

April 26, 2018

Research team at the University of Manchester in the UK has refined their machine learning technique, Linear Poisson Modelling, to analyse the effect of a cancer treatment.

The approach was originally developed to evaluate images of the craters and dunes found on Mars. It has been designed to look for any errors or uncertainties in observations.

When applied to tumour samples, the technique is reported to have demonstrated four times better accuracy in tumour change measurements that identified the beneficial effects of therapies.

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