
Welcome to the Neurological Clinical Informatics and Data Science Lab, where we explore the intricate world of neurological disorders with a focus on Alzheimer’s disease, dementia, and migraine disorders. Our multidisciplinary team harnesses the power of machine learning, artificial intelligence, and advanced statistical modeling to unravel the complexities of these conditions, aiming to improve diagnosis, prognosis, and treatment outcomes. By integrating clinical informatics and cutting-edge data science techniques, we strive to unlock new insights into the underlying mechanisms of neurological diseases and pave the way for personalized and precision medicine approaches.


ROC curves for logistic-regression models classifying baseline clinical diagnosis, showing how adding inflammatory biomarkers (I) improves discrimination. Models build sequentially on demographics (D: age, sex, education), APOE4 status (A), and classic AD CSF biomarkers (C: Aβ, p-tau181). Blue lines = without inflammation; red lines = with inflammation. AUC values for each model are noted in the legend.
