Genomic Classifier Can Improve Accuracy of Test for Pulmonary Fibrosis-linked Pneumonia, Study Reports
Combining genetic analysis and machine learning can improve the identification value of biopsies used to detect pneumonia that progressively scars lungs — a classic marker of pulmonary fibrosis — without doctors having to resort to surgery, according to a study. The findings apply to the transbronchial biopsies, or TBBs, that doctors…