At Solvemed Group, we believe in challenging the status quo of neurological care. Our founders experienced first-hand the grave consequences of poor diagnostic standards in neurodegenerative diseases. With the primary focus in Parkinson’s disease, we leverage our proprietary machine learning technology to develop novel diagnostic-predictive digitalbiomarkers to enable first-in-class, accurate, early and cost-effective diagnostic and monitoring tools. In everything we do, we put the needs of patients and healthcare professionals first. We also happen to revolutionise drug discovery as our biomarkers enable disease-modifying drugs.We respond to the unmet needs of neurological patients by providing reliable, accurate, early diagnostics and monitoring tools for better quality care and treatment outcomes. Our work has the potential to improve healthcare systems by optimising relevant care pathways and reducing the financial burden imposed by inadequate diagnostics. Through our proprietary medical data repositories, we work with our biopharmaceutical industry partners driving clinical trial efficiency and making first-in-class disease-modifying drugs possible.Everything we do is strongly embedded in world-class science. Our global team of renowned scientists and technology experts works closely with clinical researchers from top research institutions, such as Oxford University, University College London, Harvard Medical School and Duke University, among other.

AI/ML

Solvemed Group

Hugo Chrost 🧠

Daniel Josef Lindegger

Mateusz Wodzik

Todd Verdoorn

Dr Michal Wlodarski

Maciej Konarowski

The Research and Analysis Team at Solvemed Group is dedicated to driving innovation in neurological diagnostics and treatments. Comprising experts in clinical AI research, quality assurance, and data analysis, the team leverages cutting-edge machine learning techniques to develop and validate digital biomarkers specifically for Parkinson's disease. Their rigorous research and analytical efforts support the creation of accurate diagnostic tools and enhance the efficiency of clinical trials, ultimately contributing to improved patient outcomes and advancing drug discovery.

Research and Analysis Team

Leadership Team

Research and Analysis Team

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Leadership Team