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Determine stroke risk at an early stage using

<p><strong>Every year, over 100 million people worldwide suffer a stroke. Ischemic strokes (cerebral infarction) are the most common, but they can also occur &quot;silently&quot; 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 has now been published in the international journal &quot;The EPMA Journal&quot;.</strong></p>

Assessing ischemic stroke risk at an early stage using tear fluid, mitochondria and AI-based data

Assessing ischemic stroke risk at an early stage using tear fluid, mitochondria and AI-based data
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Determine stroke risk at an early stage using

Determine stroke risk at an early stage using
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