Artificial intelligence agents are autonomous systems that use large language models to reason and as such can perform complex, multistep tasks with minimal human oversight. This Review by Truhn et al. discusses how these agents — which have already been implemented in several industries — could transform cancer research and oncology, and looks at the challenges that need to be addressed before they can be efficiently and safely used.

European leaders meet in Brussels as Poland’s Donald Tusk issues warning to fellow EU states The European Council president António Costa is clear that the talks will go on for as long as it’s needed to get an agreement. He seeks to maintain a largely neutral position, but says: Continue reading...

Ferber et al. present an autonomous artificial intelligence agent system for deployment of specialized medical oncology computational tools, validating their system across various clinical scenarios r...

Vision–language models (VLMs) can analyze multimodal medical data. However, a significant weakness of VLMs is their susceptibility to prompt injection attacks. Here, the model receives conflicting ...

Abstract. Scientific and public interest in the global status of insects has surged recently; however, understanding the relative importance of different s