BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 30463031)

  • 1. Special issue on 10th international conference of predictive modelling in foods: Towards a new paradigm in predictive microbiology.
    Pérez-Rodríguez F; Carrasco E; Pradhan AK; Sant'Ana AS; Valdramidis VP; Valero A
    Int J Food Microbiol; 2019 Feb; 291():65-66. PubMed ID: 30463031
    [No Abstract]   [Full Text] [Related]  

  • 2. 'MicroHibro': A software tool for predictive microbiology and microbial risk assessment in foods.
    González SC; Possas A; Carrasco E; Valero A; Bolívar A; Posada-Izquierdo GD; García-Gimeno RM; Zurera G; Pérez-Rodríguez F
    Int J Food Microbiol; 2019 Feb; 290():226-236. PubMed ID: 30368088
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Software for predictive microbiology and risk assessment: a description and comparison of tools presented at the ICPMF8 Software Fair.
    Tenenhaus-Aziza F; Ellouze M
    Food Microbiol; 2015 Feb; 45(Pt B):290-9. PubMed ID: 25500394
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting mycotoxins in foods: a review.
    Garcia D; Ramos AJ; Sanchis V; Marín S
    Food Microbiol; 2009 Dec; 26(8):757-69. PubMed ID: 19835759
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Information systems in food safety management.
    McMeekin TA; Baranyi J; Bowman J; Dalgaard P; Kirk M; Ross T; Schmid S; Zwietering MH
    Int J Food Microbiol; 2006 Dec; 112(3):181-94. PubMed ID: 16934895
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Driving predictive modelling on a risk assessment path for enhanced food safety.
    Foegeding PM
    Int J Food Microbiol; 1997 May; 36(2-3):87-95. PubMed ID: 9217097
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Towards a novel class of predictive microbial growth models.
    Van Impe JF; Poschet F; Geeraerd AH; Vereecken KM
    Int J Food Microbiol; 2005 Apr; 100(1-3):97-105. PubMed ID: 15854696
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Application of predictive microbiology in fungi growth and mycotoxin production].
    Wang W; Yu H; Li F
    Wei Sheng Yan Jiu; 2009 Nov; 38(6):753-6. PubMed ID: 20047240
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The use of predictive models to optimize risk of decisions.
    Baranyi J; Buss da Silva N
    Int J Food Microbiol; 2017 Jan; 240():19-23. PubMed ID: 27908577
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modelling the growth, survival and death of microorganisms in foods: the UK food micromodel approach.
    McClure PJ; Blackburn CW; Cole MB; Curtis PS; Jones JE; Legan JD; Ogden ID; Peck MW; Roberts TA; Sutherland JP
    Int J Food Microbiol; 1994 Nov; 23(3-4):265-75. PubMed ID: 7873330
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling microbial growth within food safety risk assessments.
    Ross T; McMeekin TA
    Risk Anal; 2003 Feb; 23(1):179-97. PubMed ID: 12635732
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prevalence of foodborne pathogens in food from selected African countries - A meta-analysis.
    Paudyal N; Anihouvi V; Hounhouigan J; Matsheka MI; Sekwati-Monang B; Amoa-Awua W; Atter A; Ackah NB; Mbugua S; Asagbra A; Abdelgadir W; Nakavuma J; Jakobsen M; Fang W
    Int J Food Microbiol; 2017 May; 249():35-43. PubMed ID: 28271855
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Letter to the editor of the International Journal of Food Microbiology on software to calculate food safety.
    Peleg M
    Int J Food Microbiol; 2007 Aug; 118(1):97-8. PubMed ID: 17588700
    [No Abstract]   [Full Text] [Related]  

  • 14. Nuts and Grains: Microbiology and Preharvest Contamination Risks.
    Brar PK; Danyluk MD
    Microbiol Spectr; 2018 Apr; 6(2):. PubMed ID: 29701166
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A critical survey of predictive mathematical models for migration from packaging.
    Poças MF; Oliveira JC; Oliveira FA; Hogg T
    Crit Rev Food Sci Nutr; 2008 Nov; 48(10):913-28. PubMed ID: 18949594
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mathematical modelling methodologies in predictive food microbiology: a SWOT analysis.
    Ferrer J; Prats C; López D; Vives-Rego J
    Int J Food Microbiol; 2009 Aug; 134(1-2):2-8. PubMed ID: 19217180
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The application of quantitative risk assessment to microbial food safety risks.
    Jaykus LA
    Crit Rev Microbiol; 1996; 22(4):279-93. PubMed ID: 8989514
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Microbial risk assessment: dose-response relations and risk characterization.
    Buchanan RL; Smith JL; Long W
    Int J Food Microbiol; 2000 Jul; 58(3):159-72. PubMed ID: 10939266
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modeling the relationship between food animal health and human foodborne illness.
    Singer RS; Cox LA; Dickson JS; Hurd HS; Phillips I; Miller GY
    Prev Vet Med; 2007 May; 79(2-4):186-203. PubMed ID: 17270298
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Special issue: Predictive modelling.
    Int J Food Microbiol; 1994 Nov; 23(3-4):241-484. PubMed ID: 7873328
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.