Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation

Volume: 18, Issue: 12, Pages: 4520 - 4530
Published: Nov 11, 2021
Abstract
Prior to clinical development, a comprehensive pharmacokinetic characterization of a novel drug is required to understand its exposure at the site of action and elimination. Accordingly, in vitro assays and animal pharmacokinetic studies are regularly employed to predict drug exposure in humans, which is often costly and time-consuming. For this reason, the prediction of human pharmacokinetics at the point of design would be of high value for...
Paper Details
Title
Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation
Published Date
Nov 11, 2021
Volume
18
Issue
12
Pages
4520 - 4530
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.