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We examined CTM test performance using a sensitive detection platform to identify stage I non small-cell lunon small-celllungpatients undergoing imaging evaluation.
These results demonstrate that the comprehensive prognostic model was able to reliably identify stage I NSCLC patients at higher risk for tumor recurrence.
A central component of our present analysis has been to identify stage- and tissue-specific gene signatures associated with the developing facial prominences.
This 12-gene signature could identify stage I and stage II patients who might benefit from adjuvant chemotherapy and who could be spared of it.
Patients were clinically and laboratory evaluated to identify stage of liver disease.
Microscopy was used to identify stage and species of all ticks.
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We further identify stage-specific distal enhancer elements and find enriched DNA binding motifs within these regions that predict sets of transcription factors that orchestrate cardiac differentiation.
The process of deterioration was investigated with the help of acoustic emission technique to identify stages and characteristics of the damage accumulation process.
The transitional states of this model allowed us to identify stage-dependent genes, gene products and signal transduction pathways involved in ovarian tumor progression.
Mouse ovarian surface epithelial (MOSE) cells were used to identify stage-dependent changes in gene expression levels and signal transduction pathways by mouse whole genome microarray analyses and gene ontology.
By comparing early- and late-stage cancer patients, we can identify stage-specific NSCLC genes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com