Significados de patient stratification en inglés

We investigated if four well-documented gene expression risk scores can improve patient stratification.

Image-derived fibrosis is increasingly used for patient stratification and therapy guidance.

We aim to provide informed patient stratification based on phenotype and genotype features.

These observations could have potential implications for risk-oriented patient stratification and immune-modulating therapies.

However, few biomarkers are available for prognosis and patient stratification.

The biomarkers for mechanism and patient stratification were also explored.

The proposed scoring algorithms resulted in excellent patient stratification.

Identification of these subtypes provides a roadmap for patient stratification and trials of targeted therapies.

Confirmation of this association could substantially improve patient stratification.

Background: Rectal cancer (RC) patient stratification by different factors may yield variable results.

Therapeutic strategies targeting Homologous Recombination Deficiency (HRD) in breast cancer requires patient stratification.

This GBM-molRPA classification can be useful in clinics and guiding patient stratification in future clinical trials.

These results provide important new insights informing the patient stratification strategies for targeted therapeutic approaches for DS-ALL.

These data identify molecular features for patient stratification and uncover a potential targeted treatment approach for MYC-driven SCLC.

These signatures will be useful for patient stratification to evaluate conventional and new treatment for precision medicine in NPC.

The patient stratification will directly translate to patient treatments, wherein decisions regarding active surveillance or intensified therapy are made.