Predicting clinically actionable metagenomic next-generation sequencing in sepsis through dynamic inflammatory trajectories

Xiaocheng Ding, Peng Bao, Xiaopeng Huang, Rui Xu, Xinyi Tang, Yuzhi Wu, Xiaoli Cui, Yang Lu

Open source

DOI
10.3389/fmicb.2026.1949602
Published
2026-10-20
Container
Frontiers in Microbiology
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2026.1949602,
  title = {Predicting clinically actionable metagenomic next-generation sequencing in sepsis through dynamic inflammatory trajectories},
  author = {Xiaocheng Ding and Peng Bao and Xiaopeng Huang and Rui Xu and Xinyi Tang and Yuzhi Wu and Xiaoli Cui and Yang Lu},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1949602},
  url = {https://doi.org/10.3389/fmicb.2026.1949602}
}

RIS

TY  - JOUR
TI  - Predicting clinically actionable metagenomic next-generation sequencing in sepsis through dynamic inflammatory trajectories
AU  - Xiaocheng Ding
AU  - Peng Bao
AU  - Xiaopeng Huang
AU  - Rui Xu
AU  - Xinyi Tang
AU  - Yuzhi Wu
AU  - Xiaoli Cui
AU  - Yang Lu
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1949602
UR  - https://doi.org/10.3389/fmicb.2026.1949602
ER  - 

APA

Ding, X., Bao, P., Huang, X., Xu, R., Tang, X., Wu, Y., Cui, X., & Lu, Y. (2026). Predicting clinically actionable metagenomic next-generation sequencing in sepsis through dynamic inflammatory trajectories. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1949602

Source records