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Author

Sridhar Hannenhalli

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Open access Sep 2026

A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.

Robustness analysis revealed that predictive performance plateaued for some therapies with increasing training cohorts but continued to improve for others, suggesting inherent limits of supervised brute-force learning for certain treatments, but additional data and deeper mechanistic modeling may further enhance transc...

L. Pal, E. Gertz, N. Nair et al. · 0 citations
Open access Jul 2026

Fluctuating environment causes neoplastic transition and epithelial-mesenchymal plasticity in human cells

The immortalized non-tumorigenic breast epithelial cell line (MCF10A) develops neoplastic clones under fluctuating conditions in-vitro that mimic the harsh tumor microenvironment and is identified as a potential therapeutic target against epithelial-mesenchymal plasticity and metastatic spread in breast cancer.

Erez Persi, Rafael R. Canevarolo, P. Sudalagunta et al. · 1 citation

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