Paul Salama

Multidomain Analysis of Clinical Cognitive Assessments and Imaging Data in Alzheimer's Disease Accurately Predicts Disease Stage and Grade Independent of Amyloid and Tau

This study combines clinical cognitive assessments and neuro-metabolic vascular data to predict Alzheimer's disease stage and grade independently of amyloid and tau.

Multiscale Metabolic Covariance Networks Uncover Stage-Specific Biomarker Signatures Across the Alzheimer's Disease Continuum.

This study uses metabolic covariance analysis on ADNI PET data to identify stage-specific biomarker signatures in Alzheimer's disease progression.

Neuro-Metabolic and Vascular Dysfunction as an Early Diagnostic for Alzheimer's Disease and Related Dementias.

This study identifies neuro-metabolic and vascular dysfunction (MVD) as an early indicator of Alzheimer's disease by analyzing clinical data from ADNI.

Deep trans-omic network fusion reveals altered synaptic network in Alzheimer's Disease

The paper introduces MoFNet, a deep neural network that integrates multi-omic data to identify functional subnetworks associated with Alzheimer's Disease, showing replication in an independent cohort.

TSUNAMI: Translational Bioinformatics Tool Suite For Network Analysis And Mining

TSUNAMI is a tool for mining gene co-expression networks and performing downstream analysis, offering features like web interface, database access, and visualization.

Identification of functionally connected multi-omic biomarkers for Alzheimer’s Disease using modularity-constrained Lasso

The paper identifies a functionally connected subnetwork of 276 multi-omic biomarkers for Alzheimer’s Disease using a modularity-constrained Lasso model applied to the ROS/MAP cohort.