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Real-Time Prediction of Cardiovascular Complications of COVID-19 Using Machine Learning and High-Dimensional Clinical Data

Value Proposition:· High accuracy in predicting both all-cause mortality/cardiac arrest and thromboembolic events in hospitalized COVID-19 patients, with clinically meaningful early warning times. · Real-time patient risk assessment based on clinical data, via a continuously updating risk score for an outcome within a specific timeframe....

Published: 9/12/2025 | Inventor(s): Natalia Trayanova, Ashish Doshi, Eric Sung, Allison Hays, Julie Shade

Keywords(s):

Category(s): Clinical and Disease Specializations > Infectious Diseases > Covid-19, Technology Classifications > Computers, Electronics & Software > Machine Learning

Personalized Heart Modeling Using Intramyocardial Fat Deposition on Computed Tomography to Predict Ablation Targets

Unmet NeedVentricular tachycardia (VT) is a life-threatening arrhythmia that contributes significantly to the mortality and morbidity of cardiovascular patients. Catheter ablation of VTs can potentially be curative, but recurrence rates remain unacceptably high. Major technological advancements in VT ablation are often highly invasive, time-consuming,...

Published: 9/12/2025 | Inventor(s): Natalia Trayanova, Eric Sung, Adityo Prakosa, Shijie Zhou

Keywords(s):

Category(s): Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Technology Classifications > Computers, Electronics & Software