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.
CEO & Founder
Doctor of Medicine (Oxford), Machine Learning Engineer (UCL) & Neuroscientist (Cambridge)
As a practising neurologist, Jonathan saw that his impact in clinical practice was linear — you see one patient, you impact one patient, patient number doubles, impact doubles, and you start again. Instead, he wanted to combine his neurology and computer science background to impact deeper than he ever could using one discipline alone. Perfectly positioned to see the flaws in the system, and with the expertise to solve them, he set about building Machine Medicine – a company jam-packed with AI, clinical acumen, and brazen ambition.
Scientific Advisory Board
Dr Rimona Weil
Prof. Robert Hauser
Dr Lianna Ishihara
Prof. Tim Denison