193 results on '"PRADHAN, ABANI K."'
Search Results
2. Genome-based machine learning for predicting antimicrobial resistance in Salmonella isolated from chicken
3. A machine learning approach to identifying Salmonella stress response genes in isolates from poultry processing
4. Evaluating reuse of nontraditional water sources in agriculture and food production utilizing a scientometrics approach
5. Zoonoses from animal meat and milk
6. List of contributors
7. Ethical, legal, social, and economic (ELSE) implications of artificial intelligence at a global level: a scientometrics approach
8. Machine learning to predict foodborne salmonellosis outbreaks based on genome characteristics and meteorological trends
9. Research gaps and priorities for quantitative microbial risk assessment (QMRA)
10. Relevant Pathogenic and Spoilage Microorganisms in Vegetable Products
11. Linking microbial contamination to food spoilage and food waste: the role of smart packaging, spoilage risk assessments, and date labeling
12. Chapter 8 - The ethics of online AI-driven agriculture and food systems
13. Importance of artificial intelligence in evaluating climate change and food safety risk
14. Predictive Microbiology and Microbial Risk Assessment
15. Foodborne Disease Outbreaks Associated With Organic Foods: Animal and Plant Products
16. Contributors
17. Applications of advanced data analytic techniques in food safety and risk assessment
18. Application of alternative sources of water in agricultural food production — current trends and future prospects
19. Prevalence and genetic characterization of Toxoplasma gondii in free-range chickens from grocery stores and farms in Maryland, Ohio and Massachusetts, USA
20. A Machine Learning Model for Food Source Attribution of Listeria monocytogenes
21. Understanding and addressing food waste from confusion in date labeling using a stakeholders’ survey
22. Development of a novel machine learning‐based weighted modeling approach to incorporate Salmonella enterica heterogeneity on a genetic scale in a dose–response modeling framework.
23. Development of a novel machine learning‐based weighted modeling approach to incorporate Salmonella enterica heterogeneity on a genetic scale in a dose–response modeling framework
24. Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica
25. Machine learning-based predictive modeling to identify genotypic traits associated with Salmonella enterica disease endpoints in isolates from ground chicken
26. Predictive models for the effect of environmental factors on the abundance of Vibrio parahaemolyticus in oyster farms in Taiwan using extreme gradient boosting
27. List of contributors
28. Development of Dose-Response Models to Predict the Relationship for Human Toxoplasma gondii Infection Associated with Meat Consumption
29. Evaluating uncertainty and variability associated with Toxoplasma gondii survival during cooking and low temperature storage of fresh cut meats
30. Quantitative microbial risk assessment for Salmonella: Inclusion of whole genome sequencing and genomic epidemiological studies, and advances in the bioinformatics pipeline
31. Evaluation of public health risk for Escherichia coli O157:H7 in cilantro
32. Evaluation of global research trends in the area of food waste due to date labeling using a scientometrics approach
33. Evaluation and meta-analysis of test accuracy of direct PCR and bioassay methods for detecting Toxoplasma gondii in meat samples
34. Distribution of Toxoplasma gondii Tissue Cysts in Shoulder Muscles of Naturally Infected Goats and Lambs
35. Low prevalence of viable Toxoplasma gondii in fresh, unfrozen, American pasture-raised pork and lamb from retail meat stores in the United States
36. Modeling the effects of infection status and hygiene practices on Mycobacterium avium subspecies paratuberculosis contamination in bulk tank milk
37. Elucidating transmission patterns of endemic Mycobacterium avium subsp. paratuberculosis using molecular epidemiology
38. A Novel Antigenic Drift of Avian Influenza A(H7N9) Virus in Poultry, China, 2018
39. Special issue on 10th international conference of predictive modelling in foods: Towards a new paradigm in predictive microbiology
40. Age-Associated Distribution of Antimicrobial-Resistant Salmonella enterica and Escherichia coli Isolated from Dairy Herds in Pennsylvania, 2013–2015
41. Evaluation of meteorological factors associated with pre-harvest contamination risk of generic Escherichia coli in a mixed produce and dairy farm
42. Dynamic Predictive Model for Growth of Bacillus cereus from Spores in Cooked Beans
43. Identifying and modeling meteorological risk factors associated with pre-harvest contamination of Listeria species in a mixed produce and dairy farm
44. Molecular ecology of Listeria monocytogenes: evidence for a reservoir in milking equipment on a dairy farm
45. Quantifying the risk of human Toxoplasma gondii infection due to consumption of fresh pork in the United States
46. Quantitative Microbial Risk Assessment for Escherichia coli O157:H7 in Fresh-Cut Lettuce
47. A System Model for Understanding the Role of Animal Feces as a Route of Contamination of Leafy Greens before Harvest
48. Prediction of Escherichia coli O157:H7, Salmonella, and Listeria monocytogenes Growth in Leafy Greens without Temperature Control
49. Development of growth and survival models for Salmonella and Listeria monocytogenes during non-isothermal time-temperature profiles in leafy greens
50. Cost, quality, and safety: A nonlinear programming approach to optimize the temperature during supply chain of leafy greens
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