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Personalised Medicine by Predictive Modelling in Stroke for better Quality of Life

Stroke is one of the most severe medical problems with far-reaching public health and socio-economic impact. PRECISE4Q sets out to minimise the burden of stroke for the individual and for society. It will create multi-dimensional data-driven predictive simulation computer models enabling – for the first time – personalised stroke treatment, addressing patient’s needs in four stages: prevention, acute treatment, rehabilitation and reintegration.

What we do

PRECISE4Q partners publish new research on the ethical challenges of Machine Learning in medicine

Members of the ETH Zürich PRECISE4Q team, Prof. Effy Vayena and Dr. Alessandro Blasimme have published a new paper on the ethics of Machine Learning...

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Recent Tweets

  1. Germany leads the way when it comes to the acute management of #stroke yet some things are still left to improve in…

    18 days ago
  2. On Monday's #WorldStrokeDay2018, the Stroke Action Plan for Europe 2018-2030 was published and made available to th…

    18 days ago
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