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Histopathological scoring for aortic wall thickness was also evaluated via Leica QWin 500 image analyzer computer system (England)

Special thanks to Dr Minh Doan from the Broad Institute of Harvard and MIT and Dr Claire Barnes from Swansea University who assisted with the set-up of the deep machine learning framework

Personalized Treatment for CRC

Complement activation and disease: protective effects of hyperbilirubinaemia

If they can, they are still functioning normally

Samples are typically classified using a single learning statistical classification system with sensitivity, specificity, positive predictive value, negative predictive value, and/or overall accuracy of at least about 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99%