Researchers used a machine learning model to predict personalized oxygenation targets. Data analysis revealed that mortality rates were lower for patients
Researchers used a machine learning model to predict personalized oxygenation targets. Data analysis revealed that mortality rates were lower for patients
UChicago Medicine researchers led the development of a new risk score for prioritizing heart transplant candidates based on medical urgency, incorporating objec
Revamped Allocation Algorithms May Boost Heart Transplant Success miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.