Sandra D. Scherer

This paper demonstrates that multiparametric QPI can assess drug sensitivity in patient-derived breast cancer models, including cryopreserved samples, revealing cellular heterogeneity and resistance mechanisms.

This paper introduces ScreenDL, a deep learning model that predicts effective cancer therapies using tumor omic and drug screening data, outperforming existing methods in preclinical trials.

This study shows ETV4 is essential for estrogen signaling and growth in endometrial cancer cells by enabling ER binding and nuclear translocation.