We want to provide patients suffering from Acute Respiratory Distress Syndrome (ARDS) with individually tailored accurate mechanical ventilation settings to improve their odds of survival and recovery.
Local mechanical overload of the lungs due to suboptimal ventilator settings is a major contributor to the high mortality in patients suffering from Acute Respiratory Distress Syndrome (ARDS). Our technology enables us to provide the best possible protective ventilation protocol for each individual patient, reducing ventilator inflicted lung damage.
Combining a CT-scan of the patient's lungs with in-depth physiological knowledge and engineering, and physics-based algorithms we create highly accurate digital twins of the human lungs. Using our technology, we provide unprecedented insights and tailored precision treatment options.
Learn more from CT-scans. Harness the power of physics-based models in combination with state-of-the-art machine learning to improve diagnostics and provide better care faster.
Precision medicine through high-fidelity digital twins
We believe in major advances in the healthcare sector through fusing physical and physiological knowledge with data and machine learning into predictive computational models. These software-based digital twins will not only transform the development processes for drugs and medical devices, but also enable a new class of diagnostic and monitoring tools.
The founders of Ebenbuild are experts in biomedical engineering, machine learning, and software development on a mission to transform healthcare through digital technology.
Ebenbuild is currently funded through the EXIST-Forschungstranfer program of the Federal Ministry of Economic Affairs and Energy
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