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DNA Methylation Biomarkers to Predict Chronic Lung Allograft Dysfunction (UCLA Case No. 2025-9A0)
UCLA researchers in the Department of Medicine have developed a logistic regression model using DNA methylation biomarkers that enables early, noninvasive prediction of chronic lung allograft dysfunction up to two years before clinical disease onset. BACKGROUND: Chronic lung allograft dysfunction (CLAD) is the leading cause of long-term graft failure...
Published: 2/25/2026
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Inventor(s):
Joanna Schaenman
Keywords(s):
Category(s):
Diagnostic Markers > Targets And Assays
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Diagnostic Markers > Immunology
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Therapeutics > Respiratory And Pulmonary
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Software & Algorithms > Artificial Intelligence & Machine Learning
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Software & Algorithms > Bioinformatics
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Software & Algorithms > Statistical Models