Praneeth Reddy Sudalagunta

This study shows that tumor cells adapt to changing environments through phenotypic switching, with optimal survival achieved by blocking mesenchymal to epithelial transition.

The paper identifies genomic and transcriptional changes in multiple myeloma cells that drive resistance to anti-BCMA therapies, termed 'plasma cell identity escape'.

TLCellClassifier improves cell detection, tracking, and classification in time-lapse images using CNN, metric learning, and LSTM, outperforming existing tools in accuracy and efficiency.

The paper introduces a computational pipeline for analyzing large-scale time-lapse microscopy data to predict cancer drug response in patient-specific contexts.