From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance–a Comprehensive Review
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
A machine learning approach to identifying Salmonella stress response genes in isolates from poultry processing
We explored the potential of machine learning to identify significant genes associated with
Salmonella stress response during poultry processing using whole genome sequencing …
Salmonella stress response during poultry processing using whole genome sequencing …
[HTML][HTML] Drivers of virulence and antimicrobial resistance in gram negative bacteria in different settings: A genomic perspective
Preamble The human gut presents a complex ecosystem harboring trillions of
microorganisms living in close association with each other and the host body. Any …
microorganisms living in close association with each other and the host body. Any …
Combination of whole genome sequencing and supervised machine learning provides unambiguous identification of eae-positive Shiga toxin-producing Escherichia …
F Vorimore, S Jaudou, ML Tran, H Richard… - Frontiers in …, 2023 - frontiersin.org
Introduction The objective of this study was to develop, using a genome wide machine
learning approach, an unambiguous model to predict the presence of highly pathogenic …
learning approach, an unambiguous model to predict the presence of highly pathogenic …
Unraveling the evolutionary dynamics of toxin-antitoxin systems in diverse genetic lineages of Escherichia coli including the high-risk clonal complexes
Escherichia coli is a highly versatile microorganism with a unique ability to survive and
persist in varied niches of the human and animal hosts and the environment. While …
persist in varied niches of the human and animal hosts and the environment. While …
Multi-omics strategy reveals potential role of antimicrobial resistance and virulence factor genes responsible for Simmental diarrheic calves caused by Escherichia coli
Z Shi, Y Lan, Y Wang, X Yan, X Ma, F Hassan… - Msystems, 2024 - Am Soc Microbiol
Escherichia coli (E. coli) is reported to be an important pathogen associated with calf
diarrhea. Antibiotic resistance genes (ARGs) and virulence factor genes (VFGs) pose a …
diarrhea. Antibiotic resistance genes (ARGs) and virulence factor genes (VFGs) pose a …
Panomics to decode virulence and fitness in Gram-negative bacteria
Over the millennia, Gram-negative bacteria (GNB) have evolved to become one of the
leading causes of fatalities across the globe. These bacterial species range from colonizers …
leading causes of fatalities across the globe. These bacterial species range from colonizers …
抗生素抗性基因的传播机制及对策
韩爱萍 - 自然科学学报, 2024 - journals.aspub.org
抗生素的出现极大地便利了生活, 但由于滥用抗生素, 全球抗药性的扩散对公共卫生构成了严重
威胁. 用于治疗和预防的抗生素正在全球范围内得到越来越广泛的使用. 耐药菌株的数量在增加 …
威胁. 用于治疗和预防的抗生素正在全球范围内得到越来越广泛的使用. 耐药菌株的数量在增加 …
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance–a Comprehensive Review
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …