Artificial intelligence models for zoonotic pathogens: a survey

N Pillai, M Ramkumar, B Nanduri - Microorganisms, 2022 - mdpi.com
Zoonotic diseases or zoonoses are infections due to the natural transmission of pathogens
between species (animals and humans). More than 70% of emerging infectious diseases …

Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models

OR Taiwo, H Onyeaka, EK Oladipo… - International journal …, 2024 - Wiley Online Library
Predictive microbiology is a rapidly evolving field that has gained significant interest over the
years due to its diverse application in food safety. Predictive models are widely used in food …

Assessment of microbial contamination in various processing rooms using culture-dependent and 16S rRNA methods in a commercial kitchen in eastern China

H Lai, M Liu, X Chen, F Ren, M Xu, X Jiao, J Huang… - Food Control, 2025 - Elsevier
Commercial kitchens, frequently implicated in foodborne illness outbreaks, underscore the
importance of studying bacterial communities in these settings. This study analyzed bacterial …

Prevalence of STEC virulence markers and Salmonella as a function of abiotic factors in agricultural water in the southeastern United States

ZR Chevez, LL Dunn, ALBR da Silva… - Frontiers in …, 2024 - frontiersin.org
Fresh produce can be contaminated by enteric pathogens throughout crop production,
including through contact with contaminated agricultural water. The most common outbreaks …

Microbiological safety assessment of restaurants and HACCP-certified kitchens in hotels: A study in eastern China

H Lai, M Liu, Y Tang, F Ren, M Xu, C Guo, X Jiao… - International Journal of …, 2024 - Elsevier
Abstract The Hazard Analysis and Critical Control Point (HACCP) system plays a crucial role
in ensuring food safety within food service establishments, effectively reducing the risk of …

[HTML][HTML] Determining How Gavaging Laying Hens with Lead (Pb) Affects Lead Concentration in Table Eggs, Bone, blood, and Liver

BM Riggs, BZ Tobar, MM Cadena, O Clamp, T Le… - Journal of Food …, 2024 - Elsevier
Previous research has demonstrated that lead (Pb 2+, for the remainder of the paper
referred to as Pb) and other heavy metals are present in table eggs from backyard birds …

Comparison between LASSO and RT methods for prediction of generic E. coli concentration in pastured poultry farms

X Xu, MJ Rothrock Jr, J Reeves, GD Kumar… - Food Research …, 2022 - Elsevier
Though most strains of E. coli are non-pathogenic components of the intestinal microbiome,
certain pathogenic E. coli strains are the cause of diseases and outbreaks. Poultry is …

[HTML][HTML] Exploring the Synergy of Artificial Intelligence in Microbiology: Advancements, Challenges, and Future Prospects

P Mohseni, A Ghorbani - Computational and Structural Biotechnology …, 2024 - Elsevier
The integration of artificial intelligence (AI) into microbiology has the transformative potential
to advance our understanding and treatment of microbial systems. This review examines …

Relationship between poultry biosecurity assessments and Escherichia coli prevalence in poultry farms

MS Zaki, HA Fahmy, MHA Khedr… - Journal of Advanced …, 2024 - advetresearch.com
A crucial first step in preventing the introduction and spread of harmful microorganisms in
poultry farms is biosecurity. The objectives of this investigation were to assess biosecurity …

[PDF][PDF] Advancements in Predictive Microbiology

OR Taiwo, H Onyeaka, EK Oladipo, JK Oloke… - 2024 - research.birmingham.ac.uk
Predictive microbiology is a rapidly evolving field that has gained significant interest over the
years due to its diverse application in food safety. Predictive models are widely used in food …