Solvemed Appoints Marek Dziubinski, Ph.D., to its Board of Directors

From Arrhythmia Detection to Neurological Diagnostics

Marek's entrepreneurial and scientific journey spans over two decades, anchored in innovation at the intersection of medicine, data science, and technology. As the founder of Medicalgorithmics S.A., he has led the creation of PocketECG, a breakthrough real-time cardiac monitoring system used by clinicians worldwide to detect complex arrhythmias.

His expertise in developing diagnostics and predictive algorithms from ambulatory physiological signals now powers Solvemed's AI Pupillometry System — transforming subtle changes in the pupillary light reflex (PLR) into clinically actionable data for neurological assessment.
‍

^{Solvemed team exhibiting at NCS2024 in San Diego, California organised by the Neurocritical Care Society.}

Powering the Future of Neurology with AI

At Solvemed, Marek's technological leadership has enabled the development of an advanced AI-based Pupillometry system that captures and quantitatively analyzes the pupillary light reflex—an objective indicator of the neurological status.

This approach addresses the historic limitations of pupillometry by offering:

• Standardized, reproducible measurements in any ambient light conditions,
• Real-time data interpretation and sharing into the hospital EMR,
• Clinical scalability across critical care, emergency medicine, and other care hospital, pre-hospital, and outpatient care settings.

Used in critical care environments, Solvemed's AI Pupillometry System supports non-invasive neuro-monitoring and can contribute to the early detection of brain injury or neurological decline - precisely when timely intervention is most vital.

Building Bridges Between Research and Patient Care

Under Marek's technological leadership, Solvemed is establishing clinical partnerships with major health systems across the United States. These collaborations are yielding promising early results in using pupillometry as a rapid assessment tool for patients with suspected traumatic brain injury, stroke, and other acute neurological conditions that require urgent medical attention.

The platform's ability to capture minute changes in pupil response—previously invisible to the naked eye—is helping clinicians detect subtle signs of neurological decline faster and more accurately than conventional penlights. For patients, this translates to more timely intervention and potentially better outcomes.

Welcome to the Board, Marek

We're thrilled to welcome Marek to our Board of Directors. His scientific rigor, commercial insight, and commitment to evidence-based innovation will be instrumental as we pursue our mission to revolutionize brain health assessment through AI-powered quantitative pupillometry.

‍