CBmed Secures Funding for AI-Driven Cancer Research Project “Text2Win”
CBmed has secured funding through the State of Styria’s “Unkonventionelle Forschung 2026 (UFO)” program for the Text2Win project, led by CBmed researcher Akhila Naz. Text2Win explores how Large Language Models (LLMs) and clinical data can be combined to build “Digital Twins” that help predict individual therapy responses in triple-negative breast cancer. The project aims to generate new insights that could contribute to more personalised treatment strategies in the future.
The project brings together expertise in artificial intelligence, data science, and biomedical research, reflecting CBmed’s commitment to advancing precision medicine through interdisciplinary collaboration.
CBmed Secures Funding for AI-Driven Cancer Research Project “Text2Win”
CBmed has secured funding through the State of Styria’s “Unkonventionelle Forschung 2026 (UFO)” program for the Text2Win project, led by CBmed researcher Akhila Naz. Text2Win explores how Large Language Models (LLMs) and clinical data can be combined to build “Digital Twins” that help predict individual therapy responses in triple-negative breast cancer. The project aims to generate new insights that could contribute to more personalised treatment strategies in the future.
The project brings together expertise in artificial intelligence, data science, and biomedical research, reflecting CBmed’s commitment to advancing precision medicine through interdisciplinary collaboration.
We are grateful to the State of Styria for its support of innovative research and for helping transform promising ideas into impactful projects such as Text2Win.
