CVC Seminar

Abstract:

Pathology is the medical specialty at the core of disease understanding, diagnosis and patient management, but suffers from subjective quantifications, shortage of pathologists and workload increases due to the rise of cancer incidence.
Digital pathology (digitizing histology tissue sections into images) enables the use of AI in pathology image analysis, a field known as Computational Pathology.

In this talk, I will introduce the field of digital pathology, the opportunities and challenges of using artificial intelligence to address clinical needs and to personalize oncological treatments, while sketching past, present and future trends in computational pathology, in the emerging era of foundation models.

Short bio:

I am a scientist with more than 15 years of experience in medical image analysis and computer vision, working at the intersection of pathology, oncology, and artificial intelligence. As an Associate Professor of computational pathology, I lead a multidisciplinary team in the pathology department of the Radboud University Medical Center, working on precision oncology, developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and to select the right treatments to help patients.