Tobias Bald

This paper develops an endothelial graft-enhanced CAM tumor model to study T cell recruitment and activation in human cancer immunotherapy.

This paper combines evolutionary algorithms with AI to design potent Nectin-4-specific cancer biologics, achieving high-affinity minibinders and functional reagents.

This study examines neutrophil infiltration patterns in lymph nodes during adoptive T cell therapy in mice, revealing differences between tumor-draining and non-tumor-draining lymph nodes.

The paper identifies NKG7 as a reliable and consistent marker of cytotoxicity across immune subsets and tissues, outperforming traditional markers like Granzyme B and Perforin.

This paper develops AI-designed protein binders for cancer cell surface proteins, showing their effectiveness in detection and targeting through experimental validation and benchmarking of structure prediction models.

The paper identifies a subset of CD8+ TILs in HPV-HNSCC enriched for interferon-stimulated genes that are transcriptionally inert to TCR stimulation and may hinder T-cell differentiation.

The paper shows that genetic antigen loss in melanoma cells is selected for under T-cell therapy due to subclone fitness differences and stochastic events.