BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 30368088)

  • 1. '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]  

  • 2. 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]  

  • 3. Development of associations and kinetic models for microbiological data to be used in comprehensive food safety prediction software.
    Halder A; Black DG; Davidson PM; Datta A
    J Food Sci; 2010 Aug; 75(6):R107-20. PubMed ID: 20722946
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Microbiological risk assessment models for partitioning and mixing during food handling.
    Nauta MJ
    Int J Food Microbiol; 2005 Apr; 100(1-3):311-22. PubMed ID: 15854714
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of risk assessment and predictive microbiology in regulatory science related to the scientific opinions of the EFSA BIOHAZ Panel.
    Messens W; Bover-Cid S; Hempen M; Lindqvist R; Nauta M; Skandamis PN; Stella P; Koutsoumanis K
    Int J Food Microbiol; 2023 Oct; 403():110302. PubMed ID: 37392608
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Modeling Growth of Listeria and Lactic Acid Bacteria in Food Environments.
    Dalgaard P; Mejlholm O
    Methods Mol Biol; 2019; 1918():247-264. PubMed ID: 30580414
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Combining fuzzy querying of imprecise data and predictive microbiology using category-based reasoning for prediction of the possible microbial spoilage in foods: application to Listeria monocytogenes.
    Buche P; Dervin C; Gnanou-Besse N; Brouillaud-Delattre A
    Int J Food Microbiol; 2002 Mar; 73(2-3):171-85. PubMed ID: 11934025
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Towards tailored guidelines for microbial air quality in the food industry.
    Loveniers PJ; Devlieghere F; Sampers I
    Int J Food Microbiol; 2024 Aug; 421():110779. PubMed ID: 38852216
    [TBL] [Abstract][Full Text] [Related]  

  • 12. State of the art in benefit-risk analysis: food microbiology.
    Magnússon SH; Gunnlaugsdóttir H; Loveren Hv; Holm F; Kalogeras N; Leino O; Luteijn JM; Odekerken G; Pohjola MV; Tijhuis MJ; Tuomisto JT; Ueland Ø; White BC; Verhagen H
    Food Chem Toxicol; 2012 Jan; 50(1):33-9. PubMed ID: 21679739
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive Modeling of Microbial Behavior in Food.
    Stavropoulou E; Bezirtzoglou E
    Foods; 2019 Dec; 8(12):. PubMed ID: 31817788
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The "Sym'Previus" software, a tool to support decisions to the foodstuff safety.
    Leporq B; Membré JM; Dervin C; Buche P; Guyonnet JP
    Int J Food Microbiol; 2005 Apr; 100(1-3):231-7. PubMed ID: 15854708
    [TBL] [Abstract][Full Text] [Related]  

  • 15. FDA-iRISK--a comparative risk assessment system for evaluating and ranking food-hazard pairs: case studies on microbial hazards.
    Chen Y; Dennis SB; Hartnett E; Paoli G; Pouillot R; Ruthman T; Wilson M
    J Food Prot; 2013 Mar; 76(3):376-85. PubMed ID: 23462073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of predictive modelling techniques in industry: from food design up to risk assessment.
    Membré JM; Lambert RJ
    Int J Food Microbiol; 2008 Nov; 128(1):10-5. PubMed ID: 18701182
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of predictive microbiology in microbial food safety risk assessment.
    Walls I; Scott VN
    Int J Food Microbiol; 1997 May; 36(2-3):97-102. PubMed ID: 9217098
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A risk assessment approach applied to the growth of Erwinia carotovora in vegetable juice for variable temperature conditions.
    Shorten PR; Soboleva TK; Pleasants AB; Membré JM
    Int J Food Microbiol; 2006 May; 109(1-2):60-70. PubMed ID: 16507324
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative risk assessment from farm to fork and beyond: a global Bayesian approach concerning food-borne diseases.
    Albert I; Grenier E; Denis JB; Rousseau J
    Risk Anal; 2008 Apr; 28(2):557-71. PubMed ID: 18419669
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A simple, spreadsheet-based, food safety risk assessment tool.
    Ross T; Sumner J
    Int J Food Microbiol; 2002 Jul; 77(1-2):39-53. PubMed ID: 12076037
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.