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For: Zhang T, Tyson JJ. Understanding virtual patients efficiently and rigorously by combining machine learning with dynamical modelling. J Pharmacokinet Pharmacodyn 2022;49:117-131. [PMID: 34985622 PMCID: PMC8837571 DOI: 10.1007/s10928-021-09798-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/01/2021] [Indexed: 02/06/2023]

For:	Zhang T, Tyson JJ. Understanding virtual patients efficiently and rigorously by combining machine learning with dynamical modelling. J Pharmacokinet Pharmacodyn 2022;49:117-131. [PMID: 34985622 PMCID: PMC8837571 DOI: 10.1007/s10928-021-09798-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/01/2021] [Indexed: 02/06/2023]

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Cited by Other Article(s)

Bonate PL. Editor's note on the themed issue: integration of machine learning and quantitative systems pharmacology. J Pharmacokinet Pharmacodyn 2022;49:1-3. [PMID: 35041146 DOI: 10.1007/s10928-022-09803-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]