Juhi Tayal

MutAIverse detects known and novel DNA adducts and their precursor genotoxins using an AI-driven platform with mechanistic modeling and spectral mapping.

This study presents whole-genome and transcriptome analyses of breast tumors from India, identifying novel mutations, copy number alterations, and subtypes with clinical implications.

The paper introduces unCTC, an R package for unbiased identification and characterization of CTCs from scRNA-Seq data, validated on breast CTCs.

The paper develops Metabokiller, an AI model that predicts carcinogenic human metabolites by analyzing their biochemical properties and validates predictions through experimental assays.