Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …

The ability to use blood to predict the outcomes of Parkinson's disease, including disease
progression and cognitive and motor complications, would be of significant clinical value …

Data from omics studies have been used for prediction and classification of various diseases
in biomedical and bioinformatics research. In recent years, Machine Learning (ML) …

Parkinson's disease (PD) is the second most common neurodegenerative disorder, globally
affecting men and women at an exponentially growing rate, with currently no cure. Disease …

Objective To characterize DNA methylation (DNAm) differences between sporadic
Parkinson's disease (PD) and healthy control (HC) individuals enrolled in the Parkinson's …

While machine learning (ML) research has recently grown more in popularity, its application
in the omics domain is constrained by access to sufficiently large, high-quality datasets …

The process of identification and management of neurological disorder conditions faces
challenges, prompting the investigation of novel methods in order to improve diagnostic …

Background Blood cancers may be potentially cured with hematopoietic stem cell
transplantation (HCT); however, standard pre-assessments for transplant eligibility do not …

Parkinson's disease (PD) is fatal, severe and irreversible neurological disorder. With the
aging of the world population, the prevalence of PD is on the rise, making it the second most …