German China

Smart Tech Wearable to Help Understand the Effect of New Drugs on Parkinson’s Disease Patients

Source: Press release University of Bristol 2 min Reading Time

Related Vendor

Researchers are making use of an AI-enabled wearable device to capture their patient’s physical actions over long periods of time. The data from this wearable will help researchers to understand the effect of new drugs on these patients which are suffering from the Parkinson’s disease.

A woman with wearable technology on her arm. (Source:  Sphere-IRC)
A woman with wearable technology on her arm.
(Source: Sphere-IRC)

Bristol/UK – Transforming the Objective Real-world measurement of Symptoms (Torus) has received 6 million pounds funding from the Engineering & Physical Sciences Research Council to create the capability to monitor patients many times every day autonomously, continuously, objectively in their own home and for months at a time. This requires data fusion across a set of different sensors in the home.

To get a new drug to market, pharmaceutical companies need to evidence by a clinical trial whether the drug improves symptoms such as freezing when walking, tremor and the ability to undertake daily tasks such as standing up from sitting or moving between rooms.

Currently, to gather this evidence, each patient in the trial must travel to hospital to be observed performing standardized tests by a clinician. However, these (at most) monthly ‘snapshot’ samples of symptoms are a poor representation of the hour-by-hour variation of the patient’s true symptoms. This problem undermines hugely expensive clinical trials to the extent that some large companies have publicly withdrawn from developing new drugs for Parkinson’s disease.

As such, the holy grail of a cure for Parkinson’s disease has been held back for decades by the extreme difficulty of measuring whether proposed new drugs actually improve the patient’s daily symptoms.

Project lead Professor Ian Craddock, based at Bristol’s School of Engineering Mathematics and Technology commented: “Torus aims to overcome this problem by using a wrist-worn wearable integrated synergistically with AI-enabled cameras to capture their patient’s physical actions over extended periods. The data from the wearable and cameras will be fused to give metrics of the quality of mobility-related activities. We’re committed to conclude the Torus programme with a world-first clinical proof of concept.”

Neurological disorders are the single largest cause of disability – in the UK alone there are 150,000 people with Parkinson’s disease, the fastest-growing neurological condition. Tragically, Parkinson’s disease is incurable, and symptoms worsen over time, severely reducing quality of life and creating heavy burdens on the patient’s family.

The cost to the NHS each year is 375 million pounds, with families and social services contributing a further 877 million pounds (Centre for Health & Social Care Research, 2017). The number of people with Parkinson’s disease in the UK is expected to nearly double by 2040.

This proposal brings together, for the first time, the Digital Health team from Bristol with Newcastle’s Translational and Clinical Research Institute, Open Lab, and National Innovation Centre for Data. It leverages both the experience of Bristol’s EPSRC-funded Sphere IRC (total grant 16 million pounds, 2013-2022), which has unmatched expertise researching, designing and deploying multi-sensor systems in family homes, and Newcastle’s 50 million pounds Mobilise-D IMI project, a multinational collaboration between big pharma and academia.

(ID:49867382)

Subscribe to the newsletter now

Don't Miss out on Our Best Content

By clicking on „Subscribe to Newsletter“ I agree to the processing and use of my data according to the consent form (please expand for details) and accept the Terms of Use. For more information, please see our Privacy Policy. The consent declaration relates, among other things, to the sending of editorial newsletters by email and to data matching for marketing purposes with selected advertising partners (e.g., LinkedIn, Google, Meta)

Unfold for details of your consent