AI applications for clinical diagnostics, prognostics and treatment response
Thursday, 14.09.2023, 15:30 – 16:30
Barkausen-Bau BAR/SCHÖ/E
by Gregory Veldhuizen
Dr. Gregory Patrick Veldhuizen, MD PhD, is a physician-scientist specializing in AI applications in medicine. After completing his medical degrees at Maastricht University and a PhD at the Cardiovascular Research Institute Maastricht, he worked at RWTH Aachen as an AI Physician-Scientist. In 2022, Dr. Veldhuizen became a founding member of the Else Kröner Fresenius Centre for Digital Health at Dresden University of Technology, where he currently focuses on AI applications for clinical diagnostics, prognostics, and treatment response. Throughout his career, he has published numerous research articles, presented at international conferences, and contributed to the development of innovative AI-based medical solutions.
Abstract
Histopathology plays a fundamental role in the diagnosis and subtyping of solid tumors and has become a cornerstone of modern precision oncology. Histopathological evaluation is typically performed manually by expert pathologists due to the complexity of visual data. However, in the last ten years, new artificial intelligence (AI) methods have made it possible to train computers to perform visual tasks with high performance, reaching similar levels as experts in some applications. In cancer histopathology, these AI tools could help automate repetitive tasks, making more efficient use of pathologists’ time. In research studies, AI methods have been shown to have an astounding ability to predict genetic alterations and identify prognostic and predictive biomarkers directly from routine tissue slides. The presentation will give an overview of these recent applications of AI in computational pathology, focusing on new tools for cancer research that could be pivotal in identifying clinical biomarkers for better treatment decisions.