Browsing Category: Parkinson’s

Brain imaging technique for early movement disorder diagnosis Professor David Vaillancourt of the University of Florida believes that a diffusion tensor imaging technique could allow clinicians to assess movement disorders earlier, leading to improved treatment interventions and therapies. Movement disorders such as Parkinson’s disease, essential tremor, multiple system atrophy and progressive supranuclear palsy exhibit similar symptoms in the early stages, which can make […]

Machine learning algorithms analyze mobile phone data for Parkinson’s research The Michael J. Fox Foundation is exploring how data sourced from mobile phones and analyzed with machine learning algorithms can improve Parkinson’s research.  The research was crowdsourced via a public competition. The initial study included 16 individuals — nine patients, seven control.  For 8 weeks, 4-5 hours per day, each carried a smartphone with seven […]