N. Bhargava

Machine learning models for prediction of xenobiotic chemicals with high propensity to transfer into human milk

This study develops machine learning models to predict xenobiotic chemicals likely to transfer into human milk using a curated dataset of 375 chemicals and evaluates their performance on internal and external test data.

Development of an efficient single-cell cloning and expansion strategy for genome edited induced pluripotent stem cells

This paper develops an efficient single-cell cloning and expansion strategy for genome-edited hiPSCs, improving viability and expansion while maintaining pluripotency.