Recently, the research paper "A multi-modal vision-language model for generalizable annotation-free pathology localization", led by Professor Shanshan Wang from the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, and deeply participated in by the research team of the Faculty of Applied Sciences, Macao Polytechnic University, has been officially accepted for publication by the top international journal Nature Biomedical Engineering.
As one of the core participants in this research, our team was deeply involved in the core research work throughout the entire process. Relying on solid research foundation and innovative thinking, we contributed significantly to key technical aspects such as model construction and algorithm optimization, providing strong support for the successful achievement of the research results.
As an authoritative journal in the field of biomedical engineering, Nature Biomedical Engineering has stringent acceptance criteria. The acceptance of this achievement not only demonstrates the major breakthrough and academic value of the research in the field of intelligent pathological diagnosis, but also reflects the strong strength of our research team in interdisciplinary research collaboration. In the future, our research team will continue to focus on the interdisciplinary field of biomedicine and artificial intelligence, actively participate in high-level research collaborations, and continuously produce more influential research results to inject new impetus into the development of the industry.