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We are a small team based in London, that develops a platform to help assess people with Parkinson’s disease better.

Motor assessment in Parkinson’s disease is plagued by issues of subjectivity and reproducibility – not to mention systematic biases such as rater drift. To counter this, we are developing a platform, called Kelvin, that can be used from any device (e.g. smartphones or tablets). Named after the famous physicist so beloved of precise measurement, the platform allows researchers to record, score, store and analyse video of Parkinson’s patients during motor assessment.

Once captured and organised, the platform uses a cutting-edge computer vision technique, called pose estimation, to objectively track the movement of the patients down to the fingertip level and deliver objective metrics of core symptoms, such as tremor and bradykinesia.

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Machine Medicine's Team

Scientific Advisory Board


Rimona_Weil

Dr Rimona Weil

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Robert_Hauser

Prof. Robert Hauser

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Ashley George

Prof. Ashley George

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Lianna_Ishihara

Dr Lianna Ishihara

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Tim_Denison

Prof. Tim Denison

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