Sayantan Kumar

This study uses multimodal normative modeling on ATN biomarkers to analyze Alzheimer Disease heterogeneity, finding greater intra-group variation in more severe stages and a correlation between disease severity index and cognitive decline.

This paper introduces a multimodal introspective VAE for Alzheimer's Disease normative modeling, improving reconstruction of healthy controls and outlier detection in neuroimaging data.

This study uses unsupervised clustering on longitudinal cognitive data to identify subtypes of dementia, finding that mild dementia subtypes are more heterogeneous in progression.

This study identifies estrogen's role in suppressing neuro-inflammation and links its loss to increased Alzheimer's disease risk in women through systems pharmacology and signaling network analysis.