Anubha Gupta

A Comprehensive Targeted Panel of 295 Genes: Unveiling Key Disease Initiating and Transformative Biomarkers in MultipleMyeloma

This study develops a 295-gene targeted sequencing panel and an AI model to identify disease-initiating and transformative biomarkers in multiple myeloma.

Exploring MEG brain fingerprints: evaluation, pitfalls and interpretations

This paper evaluates MEG brain fingerprinting using resting-state data, finding that performance depends on connectivity measures, frequency bands, and spatial correction, with higher scores in phase-coupling methods and specific brain networks.

Studying functional brain networks from dry electrode EEG set during music and resting states in neurodevelopment disorder

This study examines brain connectivity differences in individuals with intellectual disability compared to typically developing controls using EEG during music and resting states.

Dynamic Phase Synchrony based Ranked Spatio-Temporal Clustering for Tracking Time-Resolved Functional Brain Networks

This paper introduces a spatio-temporal clustering method to analyze dynamic brain networks and finds altered dynamic networks in ASD compared to typically developing controls.