AIMC Topic: Bacteria

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Implementation of convolutional neural networks for microbial colony recognition.

Microbiology spectrum
Initial classification of microorganisms based on visual identification of colonies remains challenging for skilled microbiologists and is influenced by the proficiency and subjective interpretation of professionals. To overcome these challenges, we ...

Predicting the impact of climate warming on soil quality using bacteria and machine learning.

Journal of environmental management
In the context of global warming, a substantial portion of global soil is in a state of degradation, which poses a significant threat to biodiversity and food production worldwide. Moreover, monitoring soil quality typically requires measuring numero...

Identification of bacterial infection types in decomposition stages at various temperatures using pathology images and artificial intelligence algorithms.

Journal of microbiological methods
Bacterial infections present a significant threat to human health, and accurate identification of infection type is crucial for both clinical and forensic applications. Although traditional diagnostic methods are reliable, they are often time-consumi...

Synergistic potential of halophytes and halophilic/halotolerant plant growth-promoting bacteria in saline soil remediation: Adaptive mechanisms, challenges, and sustainable solutions.

Microbiological research
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arable land by causing ionic and osmotic imbalances in plants, disrupting physiological processes, and leading to soil degradation over time. Halophytes a...

Brassica microgreens shape gut microbiota and functional metabolite profiles in a species-related manner: A multi-omics approach following in vitro gastrointestinal digestion and large intestine fermentation.

Microbiological research
Brassicaceae microgreens constitute a novel and promising source of bioactive compounds, such as polyphenols and glucosinolates. In this work, an integrative computational approach was performed to decipher the interaction between bioaccessible micro...

A critical review on occurrence, speciation, mobilization, and toxicity of per- and polyfluoroalkyl substances in the soil-microbe-plant system and bioremediation strategies.

Journal of hazardous materials
Per- and polyfluoroalkyl substances (PFAS) are a group of recalcitrant anthropogenic compounds that are extensively utilized for numerous industrial applications globally. Despite such vast utilization, PFAS accumulation in the soils and sediments wi...

Paper-based SERS chip with adaptive attention neural network for pathogen identification.

Journal of hazardous materials
High-speed and accuracy identification of pathogens has become increasingly critical in both individual patient care and public health. Artificial intelligence (AI)-assisted surface-enhanced Raman scattering (SERS) biosensors enable simultaneous iden...

Prediction of airborne bacterial concentrations and identification of critical factors in contaminated waste facilities: Insights into interpretable machine learning models.

Journal of hazardous materials
The efficient prediction of airborne bacterial concentrations is crucial for better understanding and management of environmental sanitation risks in waste facilities. Traditional linear models have proven inadequate in capturing the complex relation...

Advances in sulfate-reducing bacteria-driven bioelectrolysis: mechanisms and applications in microbial electrolysis cell technology.

Environmental research
The discharge of sulfate-rich wastewater from chemical and pharmaceutical and food processing industries results in serious environmental problems that impact both the natural environment and human health. The conventional sulfate removal process usi...

Fluorescent sensor array for rapid bacterial identification using antimicrobial peptide-functionalized gold nanoclusters and machine learning.

Talanta
Bacterial infectious diseases pose significant challenges to public health, emphasizing the need for rapid and accurate diagnostic tools. Here, we introduced a multichannel fluorescent sensor array based on antimicrobial peptide-functionalized gold n...