Kai Kretzschmar

This paper introduces NELLY, a deep learning model that prioritizes patient-specific therapies by integrating transcriptomic and chemical data, outperforming existing methods in drug response prediction.

This paper presents a single-cell and spatial proteotranscriptomic atlas of human oral tissues, identifying fibroblasts as key immunoregulatory hubs and revealing changes in disease states.

This study uses CRC organoids to model immune-cancer interactions and assess immunomodulation by co-culturing with cytotoxic T cells.