AI & Machine LearningEvolutionary Algorithms in Digital Healthcare
We specialise in developing technologies for the diagnosis and monitoring of Parkinson’s, Alzheimer’s and other neurodegenerative conditions. Our clinically-validated medical devices have been used in medical centres and clinical trials worldwide.
Introducing ClearSky MD
Who we are
ClearSky Medical Diagnostics began as a collaboration with specialists from Leeds General Infirmary, Heriot-Watt University and the University of York who provided clinical expertise and machine learning knowledge.
We’re led by Professor Stephen Smith, who has been hailed a ‘national lifesaver’ in recognition of his research into the diagnosis and treatment of Parkinson’s.
Monitoring side-effects of medication for Parkinson’s. LID-Monitor offers a safe, simple and unobtrusive way of monitoring dyskinesia in the home.
Differentiating between neurodegenerative conditions. Data gloves with positioning sensors are worn to monitor how people perform simple test-grasp tasks.
Confirming diagnosis of Parkinson’s disease. PD-Monitor assists specialists by measuring symptoms of Parkinson’s while patients undertake routine clinical tasks.
Objectively assessing visuo-spatial ability. Patients draw on a digitising tablet and their hesitations and differences in movements are measured and analysed by the evolutionary algorithms.
ClearSky’s Professor Stephen Smith hosted a stand at an innovation exchange event in Leeds in January – part of a prestigious international innovation programme that the city of Leeds was chosen to host with Massachusetts Institute of Technology (MIT).
John has Parkinson’s – in this blog he explains how using the LID-Monitor could help with managing when patients take their Levodopa medication.
ClearSky Medical Diagnostics is thrilled to announce that two LID-Monitors, designed to help people with Parkinson’s control their condition, have been acquired at a hospital in Leeds.
We offer a range of consultancy services.
We have a number of clinical studies underway.
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