Connection

VINCENT TAM to Models, Biological

This is a "connection" page, showing publications VINCENT TAM has written about Models, Biological.
Connection Strength

2.609
  1. Population Pharmacokinetics of Polymyxin B. Clin Pharmacol Ther. 2018 09; 104(3):534-538.
    View in: PubMed
    Score: 0.409
  2. Optimizing dosage to prevent emergence of resistance - lessons from in vitro models. Curr Opin Pharmacol. 2011 Oct; 11(5):453-6.
    View in: PubMed
    Score: 0.263
  3. Pharmacodynamic modeling of aminoglycosides against Pseudomonas aeruginosa and Acinetobacter baumannii: identifying dosing regimens to suppress resistance development. Antimicrob Agents Chemother. 2008 Nov; 52(11):3987-93.
    View in: PubMed
    Score: 0.214
  4. Mathematical modelling response of Pseudomonas aeruginosa to meropenem. J Antimicrob Chemother. 2007 Dec; 60(6):1302-9.
    View in: PubMed
    Score: 0.201
  5. Modeling of microbial population responses to time-periodic concentrations of antimicrobial agents. Ann Biomed Eng. 2007 Aug; 35(8):1458-70.
    View in: PubMed
    Score: 0.194
  6. Comparative performance of different stochastic methods to simulate drug exposure and variability in a population. Diagn Microbiol Infect Dis. 2006 Oct; 56(2):185-8.
    View in: PubMed
    Score: 0.186
  7. Mathematical formulation of additivity for antimicrobial agents. Diagn Microbiol Infect Dis. 2006 Aug; 55(4):319-25.
    View in: PubMed
    Score: 0.181
  8. A new modeling approach to the effect of antimicrobial agents on heterogeneous microbial populations. J Math Biol. 2006 Feb; 52(2):154-82.
    View in: PubMed
    Score: 0.175
  9. Mathematical modelling of resistance emergence. J Antimicrob Chemother. 2005 Nov; 56(5):983; author reply 983-4.
    View in: PubMed
    Score: 0.174
  10. Modelling time-kill studies to discern the pharmacodynamics of meropenem. J Antimicrob Chemother. 2005 May; 55(5):699-706.
    View in: PubMed
    Score: 0.168
  11. Comparative pharmacokinetic analysis by standard two-stage method versus nonparametric population modeling. Pharmacotherapy. 2003 Dec; 23(12):1545-9.
    View in: PubMed
    Score: 0.154
  12. Modelling biphasic killing of fluoroquinolones: guiding optimal dosing regimen design. J Antimicrob Chemother. 2011 May; 66(5):1079-86.
    View in: PubMed
    Score: 0.064
  13. Comparative pharmacodynamics of gentamicin against Staphylococcus aureus and Pseudomonas aeruginosa. Antimicrob Agents Chemother. 2006 Aug; 50(8):2626-31.
    View in: PubMed
    Score: 0.046
  14. Pharmacodynamics of polymyxin B against Pseudomonas aeruginosa. Antimicrob Agents Chemother. 2005 Sep; 49(9):3624-30.
    View in: PubMed
    Score: 0.043
  15. Bacterial-population responses to drug-selective pressure: examination of garenoxacin's effect on Pseudomonas aeruginosa. J Infect Dis. 2005 Aug 01; 192(3):420-8.
    View in: PubMed
    Score: 0.043
  16. Optimal sampling schedule design for populations of patients. Antimicrob Agents Chemother. 2003 Sep; 47(9):2888-91.
    View in: PubMed
    Score: 0.038
  17. Disposition of naringenin via glucuronidation pathway is affected by compensating efflux transporters of hydrophilic glucuronides. Mol Pharm. 2009 Nov-Dec; 6(6):1703-15.
    View in: PubMed
    Score: 0.014
  18. Pharmacodynamic activity of amphotericin B deoxycholate is associated with peak plasma concentrations in a neutropenic murine model of invasive pulmonary aspergillosis. Antimicrob Agents Chemother. 2006 Feb; 50(2):469-73.
    View in: PubMed
    Score: 0.011
  19. Pharmacodynamic profiling of cefepime in plasma and cerebrospinal fluid of hospitalized patients with external ventriculostomies. Diagn Microbiol Infect Dis. 2006 Mar; 54(3):223-30.
    View in: PubMed
    Score: 0.011
  20. Quinolone efflux pumps play a central role in emergence of fluoroquinolone resistance in Streptococcus pneumoniae. Antimicrob Agents Chemother. 2006 Jan; 50(1):310-7.
    View in: PubMed
    Score: 0.011
  21. Disposition of cefepime in the central nervous system of patients with external ventricular drains. Pharmacotherapy. 2003 Mar; 23(3):310-4.
    View in: PubMed
    Score: 0.009
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.