Sentence examples for multiple drug selection from inspiring English sources

Morgenstern, J.P. & Land, H. Advanced mammalian gene transfer: high titre retroviral vectors with multiple drug selection markers and a complementary helper-free packaging cell line.

We demonstrate the application of this problem to multiple drug selection for cancer therapy, showing the flexibility of the problem in tailoring such drug sets.

It is thus appealing to search for minimally invasive methods to monitor and guide clinical care and drug selection at multiple time points during the course of disease.

Table 2 shows for a circuit with multiple stuck-at faults, the best drug selection for fault rectification (when possible).

Multiple covariates, mainly patient characteristics that may influence drug selection and/or discontinuation were included in the final models and are listed in table 1.

SOX4 regulation also affected drug sensitivity via modulation of multiple drug resistant gene AGCG2, suggesting that SOX4 may be an indicator for clinical drug selection and CC chemotherapy.

Indeed studies of drug-resistant cell line models have shown that multiple changes in methylation of CpG islands and epigenetic regulation occur following drug selection (Wei et al, 2003).

There are multiple reasons for inadequate therapy; poor prescribing practices with insufficient treatment duration and poor drug selection are well-recognized contributors [5], [47].

In the current study, we describe an improved methodology for rapid creation and selection of recombinant poxviruses with multiple genetic manipulations solely based on expression of a fluorescent protein and with no requirement for drug selection that can lead to cellular stress and the risk of adventitious mutations throughout the viral genome.

The longer TTP and OS of multiple drug combinations may be due to more strict inclusion criteria of potentially more toxic regimens and may indicate selection bias.

In the context of multiple treatment possibilities, the identification of predictive markers of response to chemoradiotherapy treatment is a challenging approach for drug selection in order to obtain the best clinical benefit while minimising the side effects for each patient.