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Principal Investigator  
Principal Investigator's Name: Seigfred Prado
Institution: University of Santo Tomas
Department: Department of Electronics Engineering
Country:
Proposed Analysis: We aim to develop a machine learning model that can characterize electroencephalogram (EEG) signals and classify them accordingly for the diagnosis of the different stages of AD. By characterizing and identifying the EEG biomarkers for each stage of AD, we want to create a prediction model that can determine the probability of patients with mild cognitive impairment (MCI) progressing to Alzheimer's Disease.
Additional Investigators