Computational pathology for precision medicine: development and benchmarking of artificial intelligence for oncology and beyond
Francesco Ciompi
Associate Professor and Research Group Leader on Artificial Intelligence for Precision Medicine at Radboud University Medical Center, Nijmegen.
Dr. Francesco Ciompi leads research on AI for Precision Medicine, working at the intersection of pathology, oncology, and artificial intelligence. His group focuses on AI to develop, discover and benchmark predictive biomarkers in immuno-oncology and improve computer-aided diagnosis. As a co-chair of the Computational Pathology Group at Radbodumc, he has secured numerous prestigious awards, including an NWO VIDI personal grant and the AMMODO Science Award for Groundbreaking Research.
Dr. Ciompi is a principal investigator in major Dutch (KWF) and EU (COMMITMENT, BIGPICTURE) projects and actively contributes to the Computational Pathology scientific community by founding the TIGER and UNICORN challenges, the COMPAYL workshop and the MICCAI Special Interest Group on Computational Pathology. He is also part of the editorial board of Medical Image Analysis, of the European Interdisciplinary Society for AI in Cancer Research (ESAC) and International Immuno Oncology working groups.
One of the promises of precision medicine is to provide robust and reproducible tools to identify the right treatment for the right patient at the right time. In digital pathology, artificial intelligence (AI) has achieved human- and even super-human level performance at some diagnostic tasks and can provide the building blocks for development and discovery of novel histologic biomarkers. In this talk, I will introduce the field of computational pathology for precision medicine, show recent results on development of computational biomarkers in oncology, and sketch current and possible future directions in development and benchmarking of AI in oncology and beyond, in the era of multimodal foundation models, while sharing my personal and professional experience working in this research field.
