About this Research Topic
The prevalence of Parkinson’s and other abnormal movement diseases’ imparts a considerable burden in healthcare. Their genesis and contributing factors are not entirely understood. We aim to collect scientific articles that use AI/ML-based tools to dig deeper into the molecular and biological mechanisms causing these diseases. Studies using these tools to better understand the genetics underlying these diseasesare welcome. Also, those using AI/ML technology for Parkinson’s disease and other movement disorders diagnosis, prognosis, and treatment, including developing new therapeutic interventions.
We will consider original articles, short communications, non-systematic and systematic reviews, and metanalysis for inclusion in this Research Topic. Studies can use in vivo, ex vivo, in vitro, or in silico models. Technical reports will only be considered, provided they are included in the scientific experimental procedure. Papers should address the use of AI or ML in one of the following topics:
- New cellular or molecular disease mechanisms’ exploration or identification
- Impact of genetic mutations on disease development and characteristics
- Basic, clinical, or translational aspects in new drug discovery
- New diagnostic procedures
- New prognostic or risk factors
Keywords: Parkinson’s Disease, Movement Disorders, Artificial Intelligence, Machine Learning, pathophysiology, genetics, diagnosis, follow up, prognosis, treatment
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.