Warsaw, October 28, 2025 – Medicalgorithmics (WSE: MDG), a global innovator in advanced cardiac analytics, today announced a landmark research collaboration with Lund University to accelerate the evolution of virtual cardiac diagnostics through its VCAST technology. The initiative aims to create the world’s largest dataset of AI-derived cardiac functional assessments, establishing a new global benchmark in non-invasive cardiovascular testing.
The project will apply Medicalgorithmics’ VCAST platform to the SCAPIS study, one of the world’s most comprehensive cardiovascular imaging datasets, comprising over 30,000 deeply phenotyped individuals. The collaboration is designed to demonstrate the clinical value of virtual cardiac function assessment at population scale and to advance the development of next-generation AI-driven cardiac diagnostics.
“When the VCAST analyses are complete, we will have the world’s largest population-based study with AI derived cardiac functional assessments, which will allow us to evaluate the clinical value of this new tool”, says Prof Gunnar Engström, local principal investigator of SCAPIS at Lund University.
VCAST (Virtual Cardiac Stress Testing) is an AI-powered software platform that simulates and analyzes cardiac performance under stress conditions using non-invasive data. By combining deep learning with advanced physiological modeling, VCAST aims to support earlier identification of cardiovascular risk and offer a potential non-invasive alternative or complement to traditionally used modalities such as stress echocardiography, SPECT, and cardiac MRI stress testing.
“This collaboration is a pivotal moment for the future of non-invasive cardiac diagnostics. By combining Lund University’s world-class research with our VCAST platform, we aim to set a new global benchmark for non-invasive cardiac function assessment. Deploying the world’s largest heart function dataset not only advances clinical science, but also creates a strategic AI platform that can power the next generation of predictive and personalized cardiology.”
— Dr. Kris Siemionow, MD, PhD, Chief Executive Officer of Medicalgorithmics
SCAPIS (Swedish CArdioPulmonary bioImage Study) is a national research initiative integrating imaging, biomarkers, and clinical outcomes across a large population cohort. The collaboration is intended to leverage SCAPIS data to assess the clinical utility of VCAST and evaluate its potential role in supporting future standards of non-invasive cardiac diagnostics.