breast cancer

Last week, the first workshop in the BosomShield project was hosted by the IBIB PAN (Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences) in Warsaw.
Our Ph.D. candidate, Yaqeen Ali, presented his achievements towards federated learning approaches for breast cancer classification. The entire workshop discussion focused on how AI is shaping medical imaging, particularly in breast cancer. We would like to express our gratitude to IBIB PAN (https://ibib.pl/en/) for organizing this inspiring session.

More information on the Marie Sklodowska-Curie Doctorate network Bosomshield: https://bosomshield.eu/

These numbers again stress the importance of research in breast cancer detection and relapse prediction. We are proud to be part of the Marie-Sklodowska Curie network bosomshield.eu aiming at the combination of clinical, pathological and radiological data for better treatment and therapies. Still, early detection of breast cancer is one of the most important factors for successfull treatment, so be mindful and take care of yourself!

We are very happy to welcome our new team member Yaqeen Ali. He joined mediri for his PhD as Marie Skłodowska-Curie-Fellow. He has completed his master’s degree in Computer Science at Comsats University Islamabad, Pakistan. Together with 9 other Phd students all over Europe he will work in the BosomShield Project aiming at a CAD system for breast cancer relapse prediction. Yaqeen will develop a prototype for a secure remote solution with web access for patient-individual multi-modal image analysis using cloud computing and federated learning.
Looking very much forward to this exciting project with Universitat Rovira i Virgili, KTH Royal Institute of Technology Radboudumc, Institut d’Investigació Sanitària Pere Virgili – IISPV, Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, University of Udine, UBFC – Université Bourgogne-Franche-Comté, Univerza v Mariboru and nVision Systems.