Research shows AI technology improves Parkinson’s diagnoses
The software, Automated Imaging Differentiation for Parkinsonism, or AIDP, is an automated MRI processing and machine learning software that features a noninvasive biomarker technique.
Posts tagged as
David Vaillancourt
MBI researchers earn UF seed fund awards
Multidisciplinary research projects selected for annual UF Research awards.
Pegboard test assessing movement could aid Parkinson’s research, study shows
UF-Northwestern research team reports pegboard test could provide objective marker of Parkinson’s motor symptom changes.
Adoptive cellular therapy improves Parkinson’s symptoms in mouse-model study
UF neuroscientists provide preclinical evidence for adoptive cellular therapy as a potential immunotherapy treatment to improve symptoms in genetic form of Parkinson’s.
UF neurologist to evaluate changes in Lewy body dementia using novel imaging technique
Dr. Shannon Chiu awarded five-year grant from NIA to investigate changes in LBD using diffusion-weighted MRI and task-based EEG.
HIV drug shows potential to combat form of dystonia in preclinical study
In mouse-model research, HIV medication restored brain abnormalities in DYT1 dystonia.
AI tool to be tested for improved Parkinson’s diagnosis
Researchers launch study to aid in quick and accurate early Parkinson’s diagnosis versus two related but distinct disorders.
Noninvasive, automated MRI for Parkinson’s diagnosis
Dr. David Vaillancourt leads international study demonstrating that a non-invasive, automated MRI method can pinpoint various types of Parkinson’s disease and Parkinson’s-like syndromes.
Movement disorders training program hosts NINDS leadership
National Institute of Neurological Disorders and Stroke leadership recently visited with Predoctoral Interdisciplinary Training in Movement Disorders and Neurorestoration program participants.
Two Jocks, One Goal: Cure Parkinson’s
In the laboratory of David Vaillancourt, Ph.D., researchers are applying a groundbreaking, noninvasive imaging biomarker they identified to discover better diagnostics and treatment of Parkinson's disease.
