EAN 2026 | One big question with Francesca Morgante: what PD advance could transform care in the next 3 years?
Francesca Morgante, MD, PhD, St George’s University of London, London, United Kingdom, discusses the key advances in Parkinson’s disease (PD) that could transform care in the next three years. Prof. Morgante highlights the impact of advances in technologies, such as wearable devices to monitor symptoms and inform treatment decisions. This interview took place at the 12th Congress of the European Academy of Neurology (EAN) in Geneva, Switzerland.
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Transcript
We are all looking for a big breakthrough in the Parkinson’s disease field that are disease-modifying therapies, but we don’t know when this will come and will be really utilized in clinical practice. But meantime, I think that one of the most important advancements is technology. Technology has transformed already our field with multiple examples. For example, the use of wearable devices to track Parkinson’s symptoms at home and track, for example, bradykinesia, tremor, dyskinesia, but not only tracking maybe blood pressure and tracking heart rate and tracking sleep – we commonly use this wearable device as a healthy subject in our daily life and they’ve been transformative in getting more and more data from our patients with Parkinson...
We are all looking for a big breakthrough in the Parkinson’s disease field that are disease-modifying therapies, but we don’t know when this will come and will be really utilized in clinical practice. But meantime, I think that one of the most important advancements is technology. Technology has transformed already our field with multiple examples. For example, the use of wearable devices to track Parkinson’s symptoms at home and track, for example, bradykinesia, tremor, dyskinesia, but not only tracking maybe blood pressure and tracking heart rate and tracking sleep – we commonly use this wearable device as a healthy subject in our daily life and they’ve been transformative in getting more and more data from our patients with Parkinson. Also, another technological advancement is how these wearables, these technological advancements can inform treatment, can feedback treatment and work in a closed-loop system to inform the dosage of medication. There are many studies now using machine learning algorithms that are aimed to extract information from these wearable devices that are phenotyping and capturing data, minute by minute, of patient life, to extract protocols or treatments and come out with better solutions to treat patients with Parkinson’s disease.
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