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Updated: Jan 16, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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包括CD15,ACE2和年龄在内的模型有效地预测了COVID-19的严重程度

Sergio Cuenca-López1,2, Ana Pozo-Agundo1,3, Carmen María Morales-Álvarez1,2

  • 1Centre for Genomics and Oncological Research (GENYO), Pfizer, University of Granada, Andalusian Regional Government, PTS, Granada, 18016, Spain.

Scientific reports
|October 1, 2025
PubMed
概括

识别特定的生物标志物,如CD15和ACE2,可以帮助预测COVID-19的严重程度. 这些标志物的表达较低,随着年龄的增长,表明风险更高,使得更好的患者管理和资源配置.

关键词:
生物标志物 (D015415) 是一种生物标志物COVID-19 (MeSH 唯一标识:D000086382) 是一个白血球 (D007962) 是一种白血球.这是SARS-CoV-2 (D000086402) 病毒.

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