The COVID pandemic resulted in a high incidence of patients with respiratory distress. While the use of mechanical ventilation helped some patients, others experienced acute lung failure, leading to a steady increase in the need for ECMO. The challenge with patients on ECMO is that even the...

Medicine and healthcare can use advanced data science technology to predict patient deterioration and risk.  However, challenges in data aggregation, access, and sharing can slow adoption and use of these technologies.   Listen in to hear from Dr. Nagy and Dr. Bergmann from Johns Hopkins...

Data science, machine learning, and AI can be applied to a wide spectrum of healthcare tasks, from modeling the spread of COVID across a city to arrhythmia detection on an individual patient. Using these tools requires data and expertise from both engineering and medical communities. While these...