Ebenbuild, a Munich-based startup, is revolutionizing the treatment of acute respiratory distress syndrome (ARDS) through AI and physics. The company's proprietary software creates digital twin models of patients' lungs using computer tomography and AI. These models enable personalized and precise mechanical ventilation, helping physicians manage lung stress and reduce complications. Traditional methods rely on patient body weight, often leading to suboptimal results. Ebenbuild’s approach considers individual lung physiology, predicting harmful ventilation settings and allowing safer, customized adjustments. This innovation reduces the frequency of ventilator adjustments, saving time, and costs, and ultimately shortening the duration of artificial ventilation. Beyond ventilation, Ebenbuild is expanding its technology to drug research, aiming to optimize drug efficacy in lung treatment. By predicting how drugs will affect specific lung areas, the technology could enhance clinical trials, reduce costs, and improve patient outcomes. Want to learn more about Ebenbuild? Catch Kei Wieland Müller’s full video presentation from LSI Europe ‘24 on our website and YouTube channel. PS: Registration is now open for LSI Europe ‘25 next September 7th - 11th in London. Secure your spot today to take advantage of our best rates and secure your hotel room onsite.
How does your AI ensure the accuracy of digital twin models when faced with incomplete or poor-quality CT scan data, and how do you mitigate the risk of false predictions in critical care scenarios?
Great presentation!
High-fidelity digital twins of the lung | Medical decision support | Digital trials in Biotech | Co-founder & CEO
3dThanks for highlighting the talk, LSI Europe!