Advancements in Artificial Intelligence (AI) and Machine Learning (ML) have opened new frontiers in biomedicine, offering innovative solutions for medical diagnosis and treatment. This growing potential underscores the need for global collaboration in research, which is crucial for realising the benefits of these technologies in healthcare.
From 5 to 7 February 2025, 28 PhD and postdoctoral researchers from eight universities gathered in Hamburg to explore the applications of machine-learning techniques in biomedicine. The event, organised by the University of Hamburg’s Hub of Computing and Data Science and bAlome—the Centre for Biomedical AI at the University Medical Centre Hamburg-Eppendorf (UKE)—was part of a three-day intensive workshop hosted by EUGLOH.
The workshop featured hands-on projects that enabled participants to tackle complex challenges in biomedicine. Groups delved into various research themes, including mathematical modelling of data related to inflammatory diseases, using machine learning to predict drug responses, and leveraging deep learning-based image analysis to extract valuable insights from tissue biopsy microscopy images.
On the final day, participants presented their findings to the group. These presentations highlighted the power of international collaboration in advancing the understanding and application of machine learning for improving health outcomes. Additionally, the workshop provided students with the opportunity to expand their professional networks and deepen their expertise in cutting-edge research techniques.
Through events like these, EUGLOH hopes to continue strengthening our collective efforts to apply AI and machine learning in ways that can ultimately transform healthcare practices.
Read more about the workshop on the University of Hamburg website