How autonomous AI agents will change cancer research
Published in Nature Cancer: researchers from EKFZ and Genentech explain how autonomous AI models will change workflows in cancer research.
Read moreAt the end of August around 50 postdoctoral researchers, PhD students, medical professionals, and several well-known professors, all engaged in clinical AI, met in Dresden for the Tangerine Summer School “AI in Medicine”. This diverse group had the opportunity to explore the technical aspects of current AI systems and envision future possibilities. The multidisciplinary nature of the participants led to fruitful discussions and clarifications of different perspectives on the potential of AI in clinical settings.
This Summer school featured scientific presentations by leading experts from across Europe, alongside research project presentations from members of the KatherLab. While the primary focus of the summer school aligned with the goals of the Tangerine consortium—to develop, validate, and openly publish an AI system capable of predicting ICI responses using routine histopathology slides, CT scan images, and clinical data—the speakers also addressed foundational concepts such as the multimodality of AI systems, their limitations, and explainability options to make sense of AI-based models.
