Key Laboratory Xu Jun and Liu Hui were invited to attend the 18th International Conference on Biomedical Engineering Technology and Systems and deliver keynote speeches

From February 20 to 22, 2025, Xu Jun and Liu Hui from the Key Laboratory were invited to attend the 18th International Biomedical Engineering Technology and Systems Conference (BIOSTEC 2025) held in Porto, Portugal. This conference brought together scholars and industry leaders from the United States, Germany, Portugal, Switzerland, Israel, South Korea, Japan, Brazil and other countries to conduct in-depth discussions and publish the latest scientific research results around the theme of “Intelligent Medical Technology and Future Health Systems”. Xu Jun gave a keynote speech at this conference, and Liu Hui served as co-chairman of the conference’s doctoral forum.

During the three-day academic conference, Xu Jun attended the opening ceremony as a special guest of the conference, participated in the summit forum with the theme of “Sustainable Development of Biomedical Engineering” and expressed his views, and chaired a lecture titled Crossing Borders: My Research Journey from Theory to Applications in Biomedical Signal Processing by Professor Jordi Solé-Casals, an EEG expert at the University of Catalonia in Spain. keynote speech.

Xu Jun gave a keynote speech titled Data-Driven and Knowledge-Driven Medical Image Computing for Disease Prevention, Diagnosis, Treatment, and Prognosis. In a one-hour report, he systematically introduced the latest research results of the key laboratory in recent years in the fields of imaging and pathological image analysis, multi-modal physiological signal processing, disease prevention, diagnosis, treatment and prognosis. He elaborated on the laboratory’s research and development in the face of multi-modal, cross-scale complex medical data, imaging and pathology image computing technology driven by data and knowledge, and extraction and analysis of disease-specific image phenotypes or “image biomarkers” from images and conventional pathology slices to improve the accuracy of disease detection and diagnosis. In addition, he also introduced the potential of using “image biomarkers” to predict key clinical outcomes, such as molecular subtypes, disease aggressiveness, patient survival rate, and treatment response, thereby helping doctors develop more personalized treatment plans and effective clinical care for patients. In addition, the report also covers the voxel, cell and tissue level image analysis using basic models and deep learning models in the laboratory in recent years.

At the closing ceremony of the conference, Liu Hui and Professor Micaela Fonseca from the University of Portuguese Language and Humanities and Sciences jointly presented awards to the best papers of this conference’s doctoral forum. The conference came to an end with unanimous praise from the experts and scholars present, and the participants are looking forward to gathering in the beautiful southern Spain for the 19th BIOSTEC 2026 next year.

Translated from the original Chinese source.