Karol Zagórski, MD

About

I am a medical doctor and resident physician in anatomic pathology in Wrocław, Poland. My clinical and academic focus centers on surgical oncopathology, digitized whole-slide imaging (WSI), and translational computational oncology.

My current research investigates the integration of quantum-classical hybrid machine learning algorithms and deep feature extractors for survival prediction and prognostic stratification in rare malignancies, with a particular focus on uveal melanoma.

Upcoming Presentations

Research & Clinical Interests

• Computational Pathology & WSI: Deep learning pipelines for automated histological feature extraction, tumor microenvironment profiling, and risk stratification.
• Quantum Machine Learning (QML): Variational quantum circuits (VQC) and hybrid neural architectures applied to high-dimensional biomedical data.
• Ophthalmic & Neural Pathology: Biomarkers, genomic alterations, and histoprognostic factors in intraocular melanomas and ocular adnexal tumors.
• Diagnostic Histopathology: Routine and specialized diagnostic biopsy assessment, immunohistochemistry, and molecular pathology.

Selected Conference Proceedings & Papers

1. Zagórski K, Czerski S, Markiewicz A, Romanowska-Dixon B, Donizy P. „Hybrid quantum-classical neural networks for uveal melanoma prognosis via WSI - preliminary study”. Oral presentation at the 38th European Congress of Pathology (ECP 2026), Stockholm, Sweden, September 2026.
2. Pilch J, Zagórski K, et al. „FBXW7 expression in uveal melanoma and its prognostic relevance”. Proceedings of the 38th European Congress of Pathology (ECP 2026), Stockholm, Sweden, September 2026.

Contact & Networking

I am always glad to discuss potential research collaborations, visiting fellowships, computational pathology methodologies, or meet during international conferences.