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Prediction Modeling & Biomarker Discovery of Brain Disorders Laboratory (PMBD2 lab)
Machine learning applications to psychiatric and addiction neuroscience at
The Henri Begleiter Neurodynamics Lab in SUNY Downstate Health Sciences University
Research
Investigating predictive models built using sophisticated Artificial Intelligence, deep learning and machine learning applications that are based on big data multimodal multi features such as demographics, age, sex, ancestry, clinical phenotypes, EEG, structural & functional MRI and genetic data (SNP & PRS), to reveal discriminative biomarkers and phenotypes, a potential further step towards personalized precision medicine.
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