This session features Song Li, Director of Data Science at Cardiogenic Shock Working Group and Director of Cardiogenic Shock at Medical City Healthcare, Dallas, Texas, USA, delivering a presentation on “tMCS in Cardiogenic Shock: Wrong Device or Wrong Patient?” at the 72nd Annual Conference of the American Society for Artificial Internal Organs.
He discusses cardiogenic shock (CS) stage trajectories, machine-learning phenotyping, average treatment effects in heterogenous populations, and predicting individual treatment effects of temporary mechanical circulatory support (tMCS) in CS. He also explores the X-learner method, the correlation between predicted benefits and observed benefit across all devices, machine learning prediction-guided patient-device matching, and the clinical factors driving predicted benefits for Impella CP.
Following the presentation, a roundtable on “Cardiogenic Shock: Current State and Future Directors” was held, moderated by Claudius Mahr, Executive Director for the Institute for Advanced Cardiac Care at Medical City Healthcare, Dallas, Texas, USA.
In June 2026, the American Society for Artificial Internal Organs hosted a conference featuring leading cardiothoracic surgeons who shared their expertise in the latest advancements of the field. Watch for more ASAIO 2026 videos in the coming weeks.
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