Drug response prediction model can be used to predict the efficacy of multi-compound drug as well as the efficacy of single-compound drug [ 4- 6].
The diagnostic tests that are necessary to identify genetic alterations and tumour markers and thereby predict the efficacy of a drug are sometimes referred to as companion diagnostics.
Users can use other models to predict the efficacy in the context of drug-target network.
Three-dimensional numerical simulations were conducted to predict the efficacy of ozonation for soil remediation in the field.
However, models to predict the efficacy of different grass buffer designs are lacking.
Animal models have been highly questioned for their ability to predict the efficacy of different therapeutic strategies for neurodegenerative diseases.
We used data from this trial to identify factors that predict the efficacy of PTNS in adults with FI.
How to predict the efficacy of a compound for a system (protein, biological process, cell, tissue, organ and the body) is critical for drug discovery.
This study was designed to assess the value of repetitive transcranial magnetic stimulation (rTMS) to predict the efficacy of epidural motor cortex stimulation (EMCS) to treat neuropathic pain.
The rapid emergence of computational drug designing provided a great opportunity to both discover and predict the efficacy of novel EGFR inhibitors from plant sources.
The aim of the prioritization algorithm was to predict the efficacy, selectivity and tractability of each candidate target.
