{"id":47774,"date":"2019-05-07T08:10:17","date_gmt":"2019-05-07T06:10:17","guid":{"rendered":"https:\/\/cms.munich-startup.net\/?post_type=ecosystem&#038;p=47774"},"modified":"2025-07-28T11:09:50","modified_gmt":"2025-07-28T09:09:50","slug":"ebenbuild","status":"publish","type":"ecosystem","link":"https:\/\/cms.munich-startup.net\/en\/startups\/ebenbuild\/","title":{"rendered":"Ebenbuild"},"content":{"rendered":"<div class=\"entry-content\"><p>Until now, artificial ventilation for patients with acute respiratory failure has been manually adjusted on the ventilator based on often very nonspecific parameters such as body weight. This demonstrably contributes to the high mortality rate of almost 40 percent in this type of emergency.<\/p>\n<p>We want to change that. Our software uses computed tomography (CT) scans and artificial intelligence to create a virtual, patient-specific lung model. 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