Anish K. Simhal

NetFlow constructs graph representations of biomedical data to reveal structured patterns and refine clinical subtypes in cancer datasets.

ORCO is an unsupervised network-based tool that computes Ollivier-Ricci curvature to analyze biological network robustness and identify therapeutic targets.

This study identifies high WEE1 expression as a prognostic marker in multiple myeloma, showing it is independently linked to poor survival and associated with dysregulated P53 pathways.

The paper uses proteometric imaging to classify synapses by glutamate receptor subunits, finding subclasses linked to synaptic plasticity and dendritic coupling.

The paper examines factors predicting successful MRI data acquisition in children with neurodevelopmental conditions after simulator training, finding age and sensorimotor atypicalities as key predictors.

This study uses Ricci curvature to measure changes in brain network robustness in ASD patients after stem cell infusion, identifying regions not detected by traditional methods.

This study examines synapse-type and astrocytic changes in a FXS mouse model, revealing layer-specific synaptic density alterations and reduced astrocytic association in excitatory synapses.

The paper develops algorithms to automate cervical pre-cancer detection using cervigram images, achieving higher accuracy than expert physicians.

The paper introduces a framework for characterizing and screening antibodies against synaptic molecules for array tomography, providing objective metrics to evaluate antibody performance.