Mental health conditions such as depression and anxiety disorders affect millions of people worldwide, yet the underlying mechanisms are often difficult to study. There is a lack of model systems that adequately capture the complexity of human cognitive and affective processes, such as language or reasoning. An interdisciplinary research team from medicine, psychology, and computer science at the Else Kröner Fresenius Center (EKFZ) for Digital Health at TU Dresden has now shown that large language models (LLMs) can reproduce patterns of human emotions such as anxiety, sadness, or stress. In addition, they exhibit cognitive biases and can be specifically regulated using mindfulness-based strategies. This could establish AI models as a new, complementary method for basic psychological and psychotherapy research. The results were published in The Lancet Digital Health.