Researchers at the University of Toronto have found a way to better control the preclinical generation of key neurons depleted in Parkinson's disease, pointing toward a new approach for a disease with no cure and few effective treatments.
Study demonstrates the potential of deep learning algorithms to predict Parkinson's disease (PD) through retinal fundus imaging, offering a non-invasive, early diagnostic tool.
Researchers led by Northwestern University and the University of Wisconsin-Madison have introduced a pioneering approach aimed at combating neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and Amyotrophic lateral sclerosis (ALS).