Evidence map›Paper›PMID 42807999›Full record

ArticleFrontiers in imaging (Lausanne, Switzerland)2024

Growth Independent Morphometric Machine Learning Workflow for Single-Cell Antimicrobial Susceptibility Testing of

Kristel C Tjandra, Nikhil Ram-Mohan, Manuel Roshardt, Elizabeth Zudock, Zhaonan Qu, Kathleen E Mach, Okyaz Eminaga, Joseph C Liao, Samuel Yang, Pak Kin Wong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in imaging (Lausanne, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kristel C TjandraDepartment of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Nikhil Ram-MohanDepartment of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Manuel RoshardtDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Elizabeth ZudockDepartment of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Zhaonan QuDepartment of Economics, Stanford University, Palo Alto, CA, USA.
Kathleen E MachDepartment of Urology, Stanford University School of Medicine, Palo Alto, CA, USA.
Okyaz EminagaDepartment of Urology, Stanford University School of Medicine, Palo Alto, CA, USA.
Joseph C LiaoDepartment of Urology, Stanford University School of Medicine, Palo Alto, CA, USA.
Samuel YangDepartment of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Pak Kin WongDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.

Funding

Changing Cultures in Sepsis: Rapid single-cell pathogen identification and antibiotic susceptibility testing directly from whole bloodR01AI153133 · NIAID · STANFORD UNIVERSITY · PI WONG, PAK KIN, YANG, SAMUEL · 2020 to 2024
$3.7M
NIAID NIH HHS R01 AI153133
6 · The paper itself

Abstract

Multidrug-resistant

Indexed as

antimicrobial susceptibility testartificial intelligencemicroscopyminimum inhibitory concentrationmultidrug-resistant bacteria

Identifiers

PMID42807999
PMCPMC13618438

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.