Sentence examples for cancer characterization from inspiring English sources

Primary antibodies specific to marker proteins (HER2, ER, PR, and ki-67) for breast cancer characterization were loaded in the micro-fluidic chip prior to the introduction of the aptamer.

This new technique, commonly named CRISPR/Cas9, led to a rapid expansion of the biomedical field; more specifically, cancer characterization and modeling have benefitted greatly from the genome editing capabilities of CRISPR/Cas9.

Given the important roles of miRNA in post-transcriptional regulation and its implications for cancer, characterization of miRNA facilitates us to uncover molecular mechanisms underlying the progression of androgen-independent prostate cancer (PCa).

NGAL could be used for rectal cancer characterization.

The method has comparable or even better potential to improve cancer characterization than the CCS method.

We identified one well known CRC gene (SMAD2) and several other genes (EFNA1, BOP1, TGIF2 and STMN3) that possibly could be used for rectal cancer characterization.

For example, re-evaluations of liver tissue of rats exposed to dioxin resulted in different conclusions about the liver cancer rates in those rats; industry sponsored reevaluations were associated with fewer cancer characterizations [85] [87], which had an effect on the policy recommendations.

Early detection of metastasis-prone breast cancers and characterization of residual metastatic cancers are important in efforts to improve management of breast cancer.

The events of the last two weeks, beginning with the mayor's announcement about his cancer, defy characterization.

Ongoing cancer genome characterization studies continue to elucidate the spectrum of genomic abnormalities that drive many cancers, and in the clinical arena assessment of the driver genetic alterations in patients is playing an increasingly important diagnostic and/or prognostic role for many cancer types.

This paper presents an innovative idea of applying a hybrid ensemble technique i.e. ensemble of ensemble methods for improving the predictive performance of Artificial intelligence based system for screening of cervical cancer by characterization and classification of Pap smear images.