Výsledky vyhledávání - "Cristiana P. Von Rekowski"

Akademický článek

Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool

Autor: Rúben Araújo, Luís Ramalhete, Ana Viegas, Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Cecília R. C. Calado, Luís Bento

Publikováno v: Methods and Protocols, Vol 7, Iss 3, p 36 (2024)

Robust data normalization and analysis are pivotal in biomedical research to ensure that observed differences in populations are directly attributable to the target variable, rather than disparities between control and study groups. ArsHive addresses

Externí odkaz: https://doaj.org/article/878d0ce9923e451a94c89621e3c1f3df

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Akademický článek

The Characteristics and Laboratory Findings of SARS-CoV-2 Infected Patients during the First Three COVID-19 Waves in Portugal—A Retrospective Single-Center Study

Autor: Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Rúben Araújo, Carlos Brás-Geraldes, Cecília R. C. Calado, Luís Bento, Iola Pinto

Publikováno v: Medicina, Vol 60, Iss 1, p 59 (2023)

Background and Objectives: Given the wide spectrum of clinical and laboratory manifestations of the coronavirus disease 2019 (COVID-19), it is imperative to identify potential contributing factors to patients’ outcomes. However, a limited number of

Externí odkaz: https://doaj.org/article/786481e20bfd477c811d607173624496

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Akademický článek

Infection Biomarkers Based on Metabolomics

Autor: Rúben Araújo, Luís F. N. Bento, Tiago A. H. Fonseca, Cristiana P. Von Rekowski, Bernardo Ribeiro da Cunha, Cecília R. C. Calado

Publikováno v: Metabolites, Vol 12, Iss 2, p 92 (2022)

Current infection biomarkers are highly limited since they have low capability to predict infection in the presence of confounding processes such as in non-infectious inflammatory processes, low capability to predict disease outcomes and have limited

Externí odkaz: https://doaj.org/article/917498403a8c4d7285575443634d77d6

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