Researchers combine motion capture tech and AI to treat movement disorders
UK researchers have shown that artificial intelligence, combined with cinematic motion capture suits and digital twin technology, can offer a "faster, cheaper" way of treating patients with disorders that impair their movement.
Across two studies, researchers from University College London and Imperial College London showed that using a machine-learning algorithm to crunch data gathered from the wearable suits allowed them to predict the progression of diseases far more quickly and accurately than current methods.
The researchers hope the technology can be used to speed up drug development, monitor patients and one day diagnose common diseases that affect movement such as Parkinson's, dementia, stroke and orthopaedic conditions.
Breakthrough could mean make treatment cheaper and faster "Our approach gathers huge amounts of data from a person's full-body movement ? more than any neurologist will have the precision or time to observe a patient," said Imperial College professor Aldo Faisal, who is the senior and corresponding author of both papers.
"Our AI technology builds a digital twin of the patient and allows us to make unprecedented, precise predictions of how an individual patient's disease will progress."
The technology will allow a range of diseases to be treated "even faster, cheaper and more precisely," he said.
Researchers have used AI to track Duchenne muscular dystrophy
The researchers looked at two rare disorders: Friedr...
-------------------------------- |
Exhibit Columbus presents a live talk on strategic foresight and storytelling | Talks | Dezeen |
|
Bain & Company Athens: Transforming Workspace Design
20-04-2024 08:47 - (
Architecture )
F76 Apartment: Innovative Family Apartment in Tallinn
20-04-2024 08:47 - (
Architecture )