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Enhanced Diagnosis of Primary Immunodeficiencies, Including Bronchiectasis Cases, Using Transcriptomic Artificial Intelligence

This study presents PrimDx, a diagnostic test that applies machine learning (ML) to whole blood transcriptomic data to improve early detection and diagnosis of primary immunodeficiency (PID). Delays in PID diagnosis are common and contribute to preventable complications and morbidity, highlighting t...

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Bibliografiset tiedot
Päätekijät: Benjamin G. Cocks, Narges Saeedizadeh, Emma H. Gail, Holly Pedersen, Vanessa L. Bryant, Charlotte A. Slade, Megan Rees, Jo A. Douglass, Mimi L.K. Tang, Mai Margetts, Theresa Cole, Shady Mohamed, Samantha Chan, Laura Scolamiero, Mel Berger, Simon P. Green
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Rockefeller University Press 2026-05-01
Sarja:Journal of Human Immunity
Linkit:https://rupress.org/jhi/article/2/CIS2026/eCIS2026abstract.210/282045/Enhanced-Diagnosis-of-Primary-Immunodeficiencies
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