Ina Kurth

The paper creates a unified single-cell atlas of HNSCC by integrating scRNA-seq data from 78 patients, revealing HPV and sex-specific differences in the tumor microenvironment.

The paper uses a patient-derived rectal cancer organoid platform to identify MEK and PARP inhibitors that synergize with radiation to enhance treatment response in locally advanced rectal cancer.

This study develops a deep learning model to predict survival across multiple squamous tumor types using H&E stained slides, showing its predictive power beyond head and neck cancer.

This study uses cellular barcoding to analyze clonal dynamics in response to radiation, finding deterministic and stochastic selection processes contribute to radiation resistance in HNSCC cells.