Latest AI and machine learning research in parkinson's disease for healthcare professionals.
While single-omics analyses of Parkinson's Disease (PD) have demonstrated their ability in revealing the underlying molecular mechanisms, they often fail to provide a comprehensive view of the complete disease mechanisms. In this study, we leveraged multi-omics data from 64 heterogeneous, well-phenotyped PD patients, generated plasma metabolomics data and Olink proteomics data together with the gu...
The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to treating central nervous system (CNS) disorders. The study noted that NSCs are regenerative and neuroprotective, but direct transplantation is limited by short survival, immunological rejection, and tumorigenic risk. However, NSC-EVs-nano-sized vesi...
Proton resonance frequency (PRF) MR thermometry provides temperature feedback for MR-guided focused ultrasound (FUS), but conventional baseline-refere...
Rapid eye movement (REM) sleep behaviour disorder (RBD), particularly its idiopathic/isolated form (iRBD), is a prodromal marker for α-synucleinopathi...
Current methods for determining the neurotoxic potential of (agro)chemicals are not comprehensive enough, as is suggested by the increased incidence o...
Parkinson's disease (PD) is a progressive neurodegenerative disorder diagnosed clinically by cardinal motor symptoms, with structural brain changes as...
Methods for categorizing Parkinson's Disease (PD) aim to automatically distinguish among healthy individuals as well as those who have the condition i...
BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality of life. OBJECTIVE: Evidence on soft exoskeleton ro...
BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial e...
BACKGROUND: Although artificial intelligence (AI) models have demonstrated high accuracy in diagnosing Parkinson's disease (PD) from speech signals, t...
Cognitive trajectories in Parkinson's disease (PD) exhibit substantial heterogeneity, ranging from long-term stability to rapid decline. The specific ...
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms. The lack of objective molecular bi...
Despite evidence of early neurodegeneration, postural instability is commonly associated with later stages of Parkinson's disease (PD), mainly due to ...
Deep learning methods in medical imaging often suffer from the limited availability of high-quality annotated data, especially for rare conditions. Th...
Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re-emergence of symptoms before the next dose of dop...
Quantifying behavior in animal models is essential for understanding neurological disorders, yet traditional scoring methods often fail to capture the...
The drug development for central nervous system (CNS) disorders, particularly neurodegenerative diseases, such as Alzheimer's disease, Parkinson's dis...
Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation, and rehabilitation, are highly dependent on the ...
Developing reliable biomarkers capable of differentiating Parkinson's disease from other neurological conditions is crucial for both patient care and ...