Digital technologies for Parkinson’s disease
- Submission status
- Closed
- Submission deadline
While healthcare for persons with Parkinson’s disease continues to move rapidly into a digital age, there remain important challenges. Emerging digital technologies offer significant potential in many areas of clinical care and research that include the delivery of telemedicine, assessments of symptoms and remote patient monitoring, and expanded understanding of population health; however, much of this potential has yet to be realized, and clinical uptake remains limited in many of these areas. It is clear that innovations in mobile applications, wearable devices, electronic health records, and artificial intelligence provide unprecedented volumes and types of data that could be used to improve the clinical care and scientific understanding of Parkinson’s disease. It is less clear how this expansion of data will be used to improve the lives of patients.
On this basis, the editors at npj Parkinson’s Disease and npj Digital Medicine are now inviting submissions of primary research studies that leverage digital technologies for improving the abilities to treat, assess, and understand Parkinson’s disease. The goal of this collection is to move toward realization of this significant potential for digital technologies in the research and clinical care of Parkinson’s disease.
We are particularly interested in manuscripts that address the following with relevance to Parkinson’s disease:
- Innovative digital approaches to the delivery of telemedicine
- Direct clinical applications of digital technologies and solutions for facilitating clinical uptake
- Use of wearable devices for monitoring of motor (e.g., physical activity) and non-motor (e.g., sleep) features
- Applications of artificial intelligence and machine learning in prediction of disease progression and subtyping
- Use of big data approaches to population health data, electronic health records, medical imaging, and other clinical data
- Novel techniques for measurement of symptoms
- Use of digital technologies to expand access of care or address social determinants of health
- Digitally-enabled insights into pathophysiology
- Data-driven personalization of care
Editors
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Ryan Roemmich, PhD
Kennedy Krieger Institute and Johns Hopkins University School of Medicine MD, USA
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Elena Moro, MD, PhD, FEAN, FAAN
Division of Neurology, Grenoble Alpes University Hospital, Grenoble, France
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Peter Shull, PhD
Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
This is a joint collection between npj Parkinson's Disease and npj Digital Medicine.
All articles have undergone the submitting journal's standard peer review process and have been subject to the submitting journal’s standard policies. This includes the journals’ policy on competing interests.
Click here to view npj Parkinson’s Disease Editorial policies, and here to view npj Digital Medicine’s Editorial policies.
The Editors declare no competing interests with the submissions which they have handled through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.
If accepted for publication, an article processing charge applies (with standard waiver policy).
To view the article processing charges for npj Parkinson's Disease, click here.
To view the article processing charges for npj Digital Medicine, click here.
If your institution or country has an open access agreement with Springer Nature, you may publish your article OA at no cost or in some cases with the costs partially funded (see details here).
All Collections are open for submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of npj Parkinson's Disease and npj Digital Medicine more generally.
Manuscripts submitted to an open Collection may be considered unsuitable for inclusion, particularly if they fall outside the scope of the Collection. In such cases, the authors will be notified by the editorial office and their manuscript can be considered as a regular npj Parkinson's Disease or npj Digital Medicine submission.
The in-house editors of npj Parkinson's Disease and npj Digital Medicine reserve the right to assume responsibility for the management of a Collection at any stage.
