Real-World Federated Learning in Medicine

Spyridon Bakas, PhD
Associate Professor & Director of Computational Pathology at Indiana University

Dr. Spyridon Bakas is an internationally recognised leader in AI-driven oncology, federated learning, & computational pathology, with Elsevier ranking him among the world’s top 0.5% most-cited scientists across disciplines. He is an Endowed Chair Associate Professor, the Director of the Center for Federated Learning in Medicine & of the Computational Pathology Division in the Dept. of Pathology & Laboratory Medicine, with secondary appointments in Neurosurgery; Radiology; Biostatistics & Health Data Science; & Computer Science, at Indiana University in Indianapolis (IN, USA). Outside IU, he is in the MICCAI Society Board of Directors & the Chair of the clinical AI-RANO cooperative group. Dr. Bakas leads a federally funded research group focused on bridging biomedical imaging & AI to improve the diagnosis, prognosis, & treatment planning of cancer patients. His pioneering work extends to the creation of multi-institutional multi-modal datasets & federated learning that protect patient privacy while enabling global collaboration. He has co-authored >150 peer-reviewed manuscripts & >100 abstracts, with collaborators across academic ranks & disciplines, as well as with industry. His publications have shaped current best practices in computational oncology, influencing both clinical workflows & translational AI research.