Tina Šket

Phoenix predicts spatially resolved single-cell gene expression from histology, identifying new biomarkers and validating them across cancers and treatment regimens.

This paper generates cross-species single-cell atlases of pancreatic cancer to study progression, therapy response, and immune evasion across human and mouse models.

The paper introduces a method to control protein activity through dimerization-based conditional reconstitution, demonstrating its application in inducing cell death, virus detection, and immune cell stimulation.