Our AI Lead, Dr. Witali Aswolinskiy, will present PAICON’s recent research at the 37th European Congress of Pathology (ECP 2025) in Vienna, Austria, from 6 - 10 September 2025.
Shaping the Future of Computational Pathology
At ECP 2025, Witali will highlight how PAICON is advancing deep learning applications in pathology. His posters explore two pressing challenges in the field:
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how to accurately predict microsatellite instability (MSI) in colorectal cancer from routine H&E-stained slides using only small sets of informative tissue regions, and
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how to perform ultra-fast tissue origin classification to support large-scale digital pathology archives with real-time quality control.
Both works demonstrate that AI can provide not only high accuracy, but also efficiency and interpretability, which are two factors critical for real-world clinical adoption.
Why It Matters
With millions of pathology slides being digitized worldwide, solutions that combine speed, precision, and clinical relevance are essential. By addressing both biomarker prediction and workflow quality control, PAICON’s research showcases how AI can become a trusted companion for pathologists, bridging the gap between data complexity and clinical decision-making.
We look forward to connecting with colleagues and partners at ECP 2025 in Vienna, where tradition meets the future of pathology.
