For more than 30 years, the portal, which writes about trends and innovations in the health system, has presented Director of the National Center of Pathology Center affiliated to Vilnius University Hospital Santaros Clinics, Professor of Pathology at the Faculty of Medicine at Vilnius University, Head of the Department of Pharmacology of the Institute of Biomedical Science, Prof. Dr. Arvydas Laurinavičius' works with digital partners in the field of digital pathology and artificial intelligence. High-capacity digital image analysis: spatial analytics offers greater clarity in the assessment of tumours beyond routine microscopic analysis.

The article „Spatial statistics extract subvisual features “, published on, is dedicated to original algorithms for tumor microenvironment and immune response evaluation developed by Prof. Arvydas Laurinavičius and other researchers. High-capacity digital image analysis enables new methods of spatial statistics to extract features not immediately distinguishable by visual inspection. The designed Immunogradient Indicators for Antitumor Response Assessment by Automated Tumor-Stroma Interface Zone Detection may be useful in predicting the need for immunotherapy for a patient.

“These subvisual features reflect complex properties, such as intratumour heterogeneity and have the additional benefit that they can target specific compartments in the tumour micro-environment,” Professor stated. Advances in this field were detailed in a recent webcast organised by Global Engage and sponsored by Indica Labs, which focused on research that has identified novel prognostic signatures using new spatial analysis and machine learning to measure tumour-immune cell interactions within the tumour immune micro-environment.

The key areas of interest pf Prof. Dr. Arvydas Laurinavičius include renal pathology, digital pathology image analysis, computational pathology, health information systems, standards, testing of cancer biomarkers in tissue, and multi-dimensional disease models. He is currently leading a project funded by the European Social Fund under grant agreement with the Research Council of Lithuania.  

Link to „Spatial statistics extract subvisual features “(


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