Briefly, based on the data labelled with two stimulus conditions, the SVM classifier defines a separating hyperplane from training samples by maximizing the margin of separation (i.e. the distance of the nearest sample to the separating hyperplane) between two conditions.
10 Pharmacokinetic modeling, based on data from an open-label Phase I/IB study, 13 determined that a 600 mg fixed dose of trastuzumab SC provided drug exposure that was comparable to the IV trastuzumab regimen, without the need for a loading dose.
In sporadic (late onset) AD, a 30% decreased clearance of Aβ was reported in AD subjects, based on data using a heavy isotope labeling method [ 7].
This approval was largely based on data from a prospective, open-label, phase II clinical trial in this age group prescribed etravirine at 5.2 mg/kg twice daily (up to the adult dose of 200 mg twice daily) in combination with an investigator-selected optimized background regimen.
The analysis was based on data from a six-week, open-label, parallel-group trial of stable but symptomatic outpatients with schizophrenia who were switched from their current antipsychotic to lurasidone [ 25].
This analysis was based on data from a multicenter, randomized, open-label, 1-year pragmatic trial studying the cost-effectiveness of olanzapine as the first-line treatment of schizophrenia in the United States.
Supervised learning methods are utilized to identify the patterns of melt pool images and build a black-box model for the probability distribution of class labels (namely, porosity) based on data characteristics of predictors (e.g., melt pool characteristics).
Distributions based on data from 150 treatments with non-zero medication label nausea rates.
