Blood biomarkers representing maternal-fetal interface tissues used to predict early-and late-onset preeclampsia but not COVID-19 infection.

Sufriyana, Herdiantri; Salim, Hotimah Masdan; Muhammad, Akbar Reza; Wu, Yu-Wei; Su, Emily Chia-Yu

Sufriyana, Herdiantri; Salim, Hotimah Masdan; Muhammad, Akbar Reza; Wu, Yu-Wei; Su, Emily Chia-Yu.

Afiliación

Sufriyana H; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei 11031, Taiwan.
Salim HM; Department of Medical Physiology, Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya 60237, Indonesia.
Muhammad AR; Department of Molecular Biology, Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya 60237, Indonesia.
Wu YW; Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya 60237, Indonesia.
Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei 11031, Taiwan.

Comput Struct Biotechnol J ; 20: 4206-4224, 2022.

Article en En | MEDLINE | ID: mdl-35966044

Palabras clave

Biomarker; COVID-19; Machine learning; Preeclampsia; Transcriptome

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Países Bajos

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