Date: 9 February 2026 (Monday)
Time: 12:30 pm – 1:30 pm
Venue: Lecture Theatre 1, G/F, William M.W. Mong Block, 21 Sassoon Road 
Host: Professor Guoping Fan

Laszlo Szekely is Professor of Pathology and Oncology at Karolinska Institutet as well as a foreign adjunct professor at The Chinese University of Hong Kong, Shenzhen. He is also an invited expert for the National Working Group of Genomic Medicine Sweden. Additionally, he serves as the head of the Department of Pathology and the Drug Trial Department at Karolinska Hospital. He played a key role in setting up the Karolinska Visualization Core Facility (KIVIF), where he acts as a senior technical consultant. His extensive expertise in the interdisciplinary fields of spatiotemporal pathology and artificial intelligence has enabled him to successfully translate numerous achievements into clinical applications.

This framework overcomes the limitations of static pathology by integrating dynamic, primary live-cell phenotypic screening with AI-powered multimodal data fusion. It continuously monitors drug response within preserved tumor microenvironments, capturing therapeutic heterogeneity. AI analyses this real-time phenotypic data alongside multi-omics and pharmacological profiles to construct predictive spatiotemporal networks. This approach automates the elucidation of complex, multi-target mechanisms - particularly transformative for natural product development. It decodes the polypharmacology of traditional medicines, translating empirical clinical knowledge into digitized, interpretable, and actionable strategies for personalized cancer therapy and complex disease management.