Generative models for age, race/ethnicity, and disease state dependence of physiological determinants of drug dosing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology
Link
https://link.springer.com/content/pdf/10.1007/s10928-022-09838-4.pdf
Reference26 articles.
1. McComb M, Bies R, Ramanathan M (2022) Machine learning in pharmacometrics: opportunities and challenges. Br J Clin Pharmacol 88:1482–1499
2. McComb M, Ramanathan M (2020) Generalized pharmacometric modeling, a Novel paradigm for integrating machine learning algorithms: a case study of metabolomic biomarkers. Clin Pharmacol Ther 107:1343–1351
3. Knights J, Heidary Z, Peters-Strickland T, Ramanathan M (2019) Evaluating digital medicine ingestion data from seriously mentally ill patients with a bayesian hybrid model. NPJ Digit Med 2:20
4. Knights J, Sato Y, Kaniwa N, Saito Y, Ueno H, Ramanathan M (2014) Genetic factors associated with gemcitabine pharmacokinetics, disposition, and toxicity. Pharmacogenet Genomics 24:15–25
5. McComb M, Blair RH, Lysy M, Ramanathan M (2022) Machine learning-guided, big data-enabled, biomarker-based systems pharmacology: modeling the stochasticity of natural history and disease progression. J Pharmacokinet Pharmacodyn 49:65–79
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