Abstract
Multiclass classification
of the different stages and progression of Alzheimer’s disease (AD) possess
challenges in the prediction of the trajectory of cognitive impairment. Variability of data and the lack of ability
to handle the challenges of missing data and multicollinearity in longitudinal
studies impacts diagnosis and prognosis of AD, along with the determination of
the beneficial effects of treatments and medications over time.FIU researchers have invented methods and systems to generate a color-coded visualization of AD
state and progression. The technique
involves using neuroimaging data, neuropsychological testing, cerebrospinal
fluid, and/or risk factor input to generate a color-coded visualization of
disease state and progression. Changes
in the generated visualization over time identify the changes and decline of
cognitive impairment of a patient. We
are looking for collaborators to commercialize this device.
Benefit
·      A more effective tool for identifying Alzheimer’s disease stage and classification. ·      Better monitoring of cognitive impairment over time. ·      Combines several patient/study data into one visual aid.
Market Application
This system and technique can be used to assist in the diagnosis and prognosis of Alzheimer’s disease in clinical and research applications.
Brochure
