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Multidisciplinary Consortium Sets Sights on Developing AI to Detect Gliomas

A new multidisciplinary consortium is combining knowledge from several different disciplines to develop new methods for diagnosing and treating gliomas. Comprised of Sweden’s Umeå University and Umeå University Hospital and PSE Data Security from Switzerland, the consortium will amalgamate knowledge on data security, brain tumors and machine learning to potentially create new and more effective diagnostic and treatment techniques for the brain tumor.

Glioma is a relatively common type of brain tumor that occurs in roughly 33% of brain tumor patients and affects around 19,000 new patients in…

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