Determining Stroke Risk at an Early Stage Using Tear Fluid, Mitochondria, and AI-Based Data

Experts present holistic predictive approach for preventive and individualized treatment.

Prof. Dr. Olga Golubnitschaja, Head of the Research Group for 3P (Predictive, Preventive and Personalized) Medicine at the University Hospital Bonn (UKB)

Every year, over 100 million people worldwide suffer a stroke. Ischemic strokes (cerebral infarction) are the most common, but they can also occur "silently" and therefore often go undetected. This can result in serious illnesses such as dementia, depression, or even suicide. In order to determine the risk of stroke at an early stage, Prof. Dr. Olga Golubnitschaja, Head of the Research Group for 3P (predictive, preventive, and personalized) medicine at the University Hospital Bonn (UKB), together with the University of Bonn and other authors from 25 institutions from 11 countries, has developed a holistic approach to health risk assessment associated with targeted prevention and individualized treatment algorithms. The research article was published February 27, 2024 in the international journal The EPMA Journal. The open-access article is titled “The Paradigm Change from Reactive Medical Services to 3PM in Ischemic Stroke: A Holistic Approach Utilising Tear Fluid Multi-Omics, Mitochondria As a Vital Biosensor and AI-Based Multi-Professional Data Interpretation.”

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