A new research project led by PI Eric Eldering and postdoc Marco Haselager from the Department of Experimental Immunology, in collaboration with Prof. Dr. Vivek Muniraj of the Faculty of Science at FNWI/UvA, has been awarded an NWO Open Competition Domain Science 2025 grant. The project, titled "3D spheroids and AI-driven modeling and simulations for lymphoma drug screening (3D-AIM)" combines revolutionary lab and AI techniques in order to improve treatment options for aggressive lymphoma.
Current models
For over two decades, chemo-immunotherapy has been the standard treatment for aggressive lymphomas. However, this approach is often ineffective, suppresses the immune system, and is associated with frequent relapse and resistance. Current laboratory models do not adequately capture the complexity of these diseases.
More accurate treatment
The 3D-AIM project will develop advanced 3D spheroid systems that closely mimic the tumor microenvironment found in patients with aggressive lymphoma. By integrating AI-driven image analysis and simulations, the team will extract detailed features from these models and predict tumor growth dynamics and drug responses. The ultimate goal is to link these laboratory findings to clinical responses in patients, paving the way for more accurate treatment strategies.
Significant strides against lymphoma
This innovative approach is expected to improve treatment effectiveness, reduce the need for animal testing, and bring personalized care for lymphoma patients closer to reality. The project will support a three-year postdoctoral researcher and a four-year PhD student. With this grant, the research team is set to make significant strides in the fight against lymphoma, combining cutting-edge cell culture systems with artificial intelligence to transform patient care.