These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 28096304)

  • 1. Antibiotic Cycling and Antibiotic Mixing: Which One Best Mitigates Antibiotic Resistance?
    Beardmore RE; Peña-Miller R; Gori F; Iredell J
    Mol Biol Evol; 2017 Apr; 34(4):802-817. PubMed ID: 28096304
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Antibiotic heterogeneity: from concept to practice.
    Bal AM; Kumar A; Gould IM
    Ann N Y Acad Sci; 2010 Dec; 1213():81-91. PubMed ID: 21175677
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals.
    Bergstrom CT; Lo M; Lipsitch M
    Proc Natl Acad Sci U S A; 2004 Sep; 101(36):13285-90. PubMed ID: 15308772
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Source-sink dynamics shape the evolution of antibiotic resistance and its pleiotropic fitness cost.
    Perron GG; Gonzalez A; Buckling A
    Proc Biol Sci; 2007 Sep; 274(1623):2351-6. PubMed ID: 17650474
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Antibiotic cycling versus mixing: the difficulty of using mathematical models to definitively quantify their relative merits.
    Beardmore RE; Pena-Miller R
    Math Biosci Eng; 2010 Oct; 7(4):923-33. PubMed ID: 21077716
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling antibiotic treatment in hospitals: A systematic approach shows benefits of combination therapy over cycling, mixing, and mono-drug therapies.
    Tepekule B; Uecker H; Derungs I; Frenoy A; Bonhoeffer S
    PLoS Comput Biol; 2017 Sep; 13(9):e1005745. PubMed ID: 28915236
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluating the efficacy of antimicrobial cycling programmes and patient isolation on dual resistance in hospitals.
    Chow K; Wang X; Curtiss R; Castillo-Chavez C
    J Biol Dyn; 2011 Jan; 5(1):27-43. PubMed ID: 22877228
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of a Mixing versus a Cycling Strategy of Antibiotic Use in Critically-Ill Medical Patients: Impact on Acquisition of Resistant Microorganisms and Clinical Outcomes.
    Cobos-Trigueros N; Solé M; Castro P; Torres JL; Rinaudo M; De Lazzari E; Morata L; Hernández C; Fernández S; Soriano A; Nicolás JM; Mensa J; Vila J; Martínez JA
    PLoS One; 2016; 11(3):e0150274. PubMed ID: 26982807
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The evolution of antibiotic resistance: insight into the roles of molecular mechanisms of resistance and treatment context.
    Maclean RC; Hall AR; Perron GG; Buckling A
    Discov Med; 2010 Aug; 10(51):112-8. PubMed ID: 20807471
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A population model evaluating the consequences of the evolution of double-resistance and tradeoffs on the benefits of two-drug antibiotic treatments.
    Campbell EM; Chao L
    PLoS One; 2014; 9(1):e86971. PubMed ID: 24498003
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Informed switching strongly decreases the prevalence of antibiotic resistance in hospital wards.
    Kouyos RD; Abel Zur Wiesch P; Bonhoeffer S
    PLoS Comput Biol; 2011 Mar; 7(3):e1001094. PubMed ID: 21390265
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bacteria under antibiotic attack: Different strategies for evolutionary adaptation.
    Windels EM; Van den Bergh B; Michiels J
    PLoS Pathog; 2020 May; 16(5):e1008431. PubMed ID: 32379814
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance.
    Nichol D; Jeavons P; Fletcher AG; Bonomo RA; Maini PK; Paul JL; Gatenby RA; Anderson AR; Scott JG
    PLoS Comput Biol; 2015 Sep; 11(9):e1004493. PubMed ID: 26360300
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extended follow-up of an antibiotic cycling program for the management of febrile neutropenia in a hematologic malignancy and hematopoietic cell transplantation unit.
    Cumpston A; Craig M; Hamadani M; Abraham J; Hobbs GR; Sarwari AR
    Transpl Infect Dis; 2013 Apr; 15(2):142-9. PubMed ID: 23279656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modeling antimicrobial cycling and mixing: Differences arising from an individual-based versus a population-based perspective.
    Uecker H; Bonhoeffer S
    Math Biosci; 2017 Dec; 294():85-91. PubMed ID: 28962827
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inappropriate use of antibiotics in hospitals: the complex relationship between antibiotic use and antimicrobial resistance.
    Cantón R; Horcajada JP; Oliver A; Garbajosa PR; Vila J
    Enferm Infecc Microbiol Clin; 2013 Sep; 31 Suppl 4():3-11. PubMed ID: 24129283
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rampant Parasexuality Evolves in a Hospital Pathogen during Antibiotic Selection.
    Beabout K; Hammerstrom TG; Wang TT; Bhatty M; Christie PJ; Saxer G; Shamoo Y
    Mol Biol Evol; 2015 Oct; 32(10):2585-97. PubMed ID: 26060280
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Antibiotic resistance of bacteria Campylobacter sp].
    Rzewuska K; Korsak D; Maćkiw E
    Przegl Epidemiol; 2010; 64(1):63-8. PubMed ID: 20499661
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Systematic review of the effects of antimicrobial cycling on bacterial resistance rates within hospital settings.
    Chatzopoulou M; Reynolds L
    Br J Clin Pharmacol; 2022 Mar; 88(3):897-910. PubMed ID: 34409640
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A survey of within-host and between-hosts modelling for antibiotic resistance.
    Tetteh JNA; Matthäus F; Hernandez-Vargas EA
    Biosystems; 2020 Oct; 196():104182. PubMed ID: 32525023
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.