10Oct
[Articles] Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson’s disease: a longitudinal cohort study and validation
Our model ensemble confirmed established and identified novel predictors of Parkinson's disease motor progression. Improvement of existing prognostic models through machine-learning approaches should benefit trial design and evaluation, as well as clinical disease monitoring and treatment.
Ander nieuws
20May
[Comment] A new step towards targeting tau
Progressive supranuclear palsy is a rare neurodegenerative disease characterised by an axial parkins...
20May
[Review] CSF and blood biomarkers for Parkinson’s disease
In the management of Parkinson's disease, reliable diagnostic and prognostic biomarkers are urg...
22Apr
Parkinson’s disease patient: ‘I can walk… it’s really helped me’
Parkinson's disease patient Gail Jardine can walk more freely after having a spinal implant fit...