Mahnoor Naseer Gondal

This study identifies genomic drivers of progression and therapeutic outcomes in mCRPC and develops a multi-omic classifier to predict patient survival across multiple therapies.

This study assesses diversity, equity, and inclusion biases in GEO datasets, finding significant ethnicity bias and some shifts in gender representation over time.

This study shows that PIKfyve inhibition enhances dendritic cell function and improves immunotherapy efficacy in tumor models.

CanSeer develops a multi-stage methodology to create in silico models for personalized cancer therapies using patient-specific multi-omics data and identifies effective drug combinations for specific cancer types.

This paper reviews the development of cancer systems biology models and their integration with patient data to support personalized therapeutics, highlighting the need for a unified multi-scale modeling pipeline.

TISON is a web-based platform for multi-scale cancer modeling that integrates biomolecular data and patient-specific information to support drug target discovery and personalized therapeutics.

This study develops an in silico Drosophila Patient Model to identify optimal combinatorial therapies for colorectal cancer using Boolean networks and patient-specific data.