Sonika M Dahiya

This study uses spatial transcriptomics to map glioblastoma's spatial architecture, identifying tumor cell states and intercellular interactions along the core-edge axis.

This study identifies NF2 loss-of-function and hypoxia as drivers of radiation resistance in Grade 2 meningiomas through genetic, histopathological, and transcriptional analyses.

This study develops CRISPR-engineered glioblastoma organoids to model tumor progression, revealing transcriptional and spatial changes in neurodevelopmental gene networks.

This paper introduces a novel Diffusion Histology Imaging (DHI) approach combining DBSI and machine learning to improve detection and classification of glioblastoma histopathology features.

This paper introduces DHI, a method combining diffusion basis spectrum imaging and deep neural networks to classify pediatric brain tumor histology with high accuracy.