ArticleACS omega2025
MALDI-TOF MS and Machine Learning Explanations for the Detection of SARS-CoV‑2 Infection in Human Plasma: Fingerprints as a Strategy for Risk Assessment.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
9 authors.
Funding
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Abstract
The COVID-19 pandemic proved to be a major public health challenge that had an enormously disruptive effect on the operational management of hospitals. It became especially important to find both diagnostic and prognostic methods for risk severity evaluation. Here, a MALDI-TOF MS method for the profiling of plasma samples combined with machine learning (ML) and its explanations was developed to identify SARS-CoV-2 infection while also allowing for the classification of patients by the severity of the disease. A prospective study of the most important
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Registered trials
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