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Connection

Michael Nikolaou to Anti-Bacterial Agents

This is a "connection" page, showing publications Michael Nikolaou has written about Anti-Bacterial Agents.
Connection Strength

1.801
  1. Systematic design of pulse dosing to eradicate persister bacteria. PLoS Comput Biol. 2023 01; 19(1):e1010243.
    View in: PubMed
    Score: 0.670
  2. 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: 0.247
  3. Mathematical modelling response of Pseudomonas aeruginosa to meropenem. J Antimicrob Chemother. 2007 Dec; 60(6):1302-9.
    View in: PubMed
    Score: 0.232
  4. Modelling time-kill studies to discern the pharmacodynamics of meropenem. J Antimicrob Chemother. 2005 May; 55(5):699-706.
    View in: PubMed
    Score: 0.195
  5. Deciphering longitudinal optical-density measurements to guide clinical dosing regimen design: A model-based approach. Comput Methods Programs Biomed. 2022 Dec; 227:107212.
    View in: PubMed
    Score: 0.165
  6. Mathematical model to quantify the effects of risk factors on carbapenem-resistant Acinetobacter baumannii. Antimicrob Agents Chemother. 2014 Sep; 58(9):5239-44.
    View in: PubMed
    Score: 0.092
  7. Modelling biphasic killing of fluoroquinolones: guiding optimal dosing regimen design. J Antimicrob Chemother. 2011 May; 66(5):1079-86.
    View in: PubMed
    Score: 0.074
  8. Mathematical modeling to characterize the inoculum effect. Antimicrob Agents Chemother. 2010 Nov; 54(11):4739-43.
    View in: PubMed
    Score: 0.071
  9. Optimizing pharmacokinetics/pharmacodynamics of ?-lactam/?-lactamase inhibitor combinations against high inocula of ESBL-producing bacteria. J Antimicrob Chemother. 2021 01 01; 76(1):179-183.
    View in: PubMed
    Score: 0.036
  10. Quantitative impact of neutrophils on bacterial clearance in a murine pneumonia model. Antimicrob Agents Chemother. 2011 Oct; 55(10):4601-5.
    View in: PubMed
    Score: 0.019
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.