Discovering Biomarkers for Asymptomatic Tuberculosis via Olink Proteomics and Machine Learning

The diagnosis of asymptomatic tuberculosis (TB) remains challenging due to an early disease stage. This study aimed to identify and validate plasma biomarkers for asymptomatic TB by integrating the Olink proteomics with multiple machine learning algorithms. Plasma samples were analyzed using the Oli...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Qingfeng Sun (1924555) (author)
مؤلفون آخرون:	Shanshan Li (114847) (author), Weicong Ren (7504904) (author), You Zhou (129411) (author), Cong Yao (441931) (author), Liuchun Shi (22386779) (author), Aimei Liu (5155967) (author), Mengqiu Gao (502623) (author), Yu Pang (330277) (author)
منشور في:	2025
الموضوعات:	Biochemistry Medicine Cell Biology Neuroscience Sociology Immunology Cancer Infectious Diseases Virology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified remains challenging due improving patient outcomes elisa validation performed early disease stage support vector machine latent tb infection 85 – 0 75 – 0 ltbi ), yielding asymptomatic tb compared asymptomatic tb cases validate plasma biomarkers asymptomatic tb plasma samples machine learning asymptomatic tuberculosis discriminative biomarkers discovering biomarkers xgboost algorithms study aimed significantly upregulated related proteins p </ olink proteomics neural network high potential healthy controls findings indicate data revealed analyzed using 05 ).
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Discovering Biomarkers for Asymptomatic Tuberculosis via Olink Proteomics and Machine Learning

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