New Near-Infrared Machine Learning Technique Identifies Dangerous Blood for Transfusion Safety
May 6th 2024Researchers in China have developed a cutting-edge machine learning approach that can detect chylous blood in blood intended for transfusion with more than 90% accuracy. This development promises to significantly reduce the risks associated with blood transfusions and improve the efficiency of blood donation centers.