[HTML][HTML] The foundation and architecture of precision medicine in neurology and psychiatry
Neurological and psychiatric diseases have high degrees of genetic and pathophysiological
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
[HTML][HTML] Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
The coronavirus disease 2019 crisis as catalyst for telemedicine for chronic neurological disorders
The unfolding coronavirus disease 2019 (COVID-19) pandemic is transforming neurological
care more than any other crisis in modern history. Social distancing and quarantine have cut …
care more than any other crisis in modern history. Social distancing and quarantine have cut …
Long-term unsupervised mobility assessment in movement disorders
Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated
devices) that quantify mobility in unsupervised, daily living environments are emerging as …
devices) that quantify mobility in unsupervised, daily living environments are emerging as …
[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
[HTML][HTML] Emerging artificial intelligence–empowered mhealth: scoping review
Background Artificial intelligence (AI) has revolutionized health care delivery in recent years.
There is an increase in research for advanced AI techniques, such as deep learning, to build …
There is an increase in research for advanced AI techniques, such as deep learning, to build …
Integrated and patient-centred management of Parkinson's disease: a network model for reshaping chronic neurological care
Chronic neurological diseases are the leading cause of disability globally. Yet, our health-
care systems are not designed to meet the needs of many patients with chronic neurological …
care systems are not designed to meet the needs of many patients with chronic neurological …
[HTML][HTML] Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease
Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …
signs, potentially providing reliable and valid estimates of motor sign severity and …
[HTML][HTML] Parkinson's disease drug therapies in the clinical trial pipeline: 2020
K McFarthing, S Buff, G Rafaloff… - Journal of …, 2020 - content.iospress.com
Background: The majority of current pharmacological treatments for Parkinson's disease
(PD) were approved for clinical use in the second half of the last century and they only …
(PD) were approved for clinical use in the second half of the last century and they only …
[HTML][HTML] In vivo effects of the alpha-synuclein misfolding inhibitor minzasolmin supports clinical development in Parkinson's disease
DL Price, A Khan, R Angers, A Cardenas… - npj Parkinson's …, 2023 - nature.com
Direct targeting of alpha-synuclein (ASYN) has emerged as a disease-modifying strategy for
Parkinson's disease and other synucleinopathies which is being approached using both …
Parkinson's disease and other synucleinopathies which is being approached using both …