Research graph
References from The benefits and biases of artificial intelligence in microbiology. Local targets link to admitted publications; unresolved targets remain external evidence.
Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)
10.1109/access.2018.2870052 · 2018 · External reference
Artificial intelligence and machine learning for analysis of multi-omics
2024 · External reference
Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation
10.3390/antibiotics12030523 · 2023 · External reference
Automation and its influence on sustainable development: economic, social, and environmental dimensions
10.3390/su17041754 · 2025 · External reference
The impact of artificial intelligence on microbial diagnosis
10.3390/microorganisms12061051 · 2024 · External reference
Review of deep learning: concepts
2021 · External reference
Machine learning in microbiome research: current applications and future directions
2023 · External reference
Ethical challenges of AI in clinical microbiology: a global health perspective
2023 · External reference
SIMBA-GNN: mechanistic graph learning for microbiome prediction
10.1038/s41540-025-00631-w · 2025 · External reference
DeepARG: a deep learning approach for predicting antibiotic resistance genes 2308 from metagenomic data
10.1186/s40168-018-0401-z · 2018 · External reference
Unresolved reference
2024 · External reference
Microbial artificial intelligence (MAI): introductory perspectives
2026 · External reference
Unresolved reference
2026 · External reference
Applications of AI in water and wastewater treatment
2026 · External reference
Biomass quantification and 3-D topography reconstruction of microalgal biofilms using digital image processing
10.1016/j.algal.2021.102243 · 2021 · External reference
From traditional to artificial intelligence-based microbial contamination control in pharma: driving a new era
2025 · External reference
Towards designing of a potential new HIV-1 protease inhibitor using QSAR study in combination with molecular docking and Molecular dynamics simulations
10.1371/journal.pone.0284539 · 2023 · External reference
Unresolved reference
2025 · External reference
Automated quality control for sensor-based symptom measurement performed outside the lab
10.3390/s18041215 · 2018 · External reference
Machine learning in applied microbiology: from data quality to model validation and implementation
10.1016/j.micres.2026.128588 · 2026 · External reference
The state of the art of deep learning models in medical science and their challenges
10.1007/s00530-020-00694-1 · 2021 · External reference
Unresolved reference
2006 · External reference
The rise of artificial intelligence in healthcare applications
2020 · External reference
Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases
10.1186/s12866-025-04072-7 · 2025 · External reference
Impact of a deep learning sepsis prediction model on quality of care and survival
10.1038/s41746-023-00986-6 · 2024 · External reference
Support vector machines for classification and regression
10.1039/b918972f · 2010 · External reference
A review of artificial intelligence applications for biorefineries and bioprocessing: from data-driven processes to optimization strategies and real-time control
10.3390/pr13082544 · 2025 · External reference
A generative deep learning approach to de novo antibiotic design
2025 · External reference
An explainable artificial intelligence framework reveals mutations associated with drug resistance in Mycobacterium tuberculosis
10.1016/j.bsheal.2025.11.001 · 2025 · External reference
MCount: an automated colony counting tool for high-throughput microbiology
10.1371/journal.pone.0311242 · 2025 · External reference
XGBoost: a scalable tree boosting system
2016 · External reference
Multi-omics integration with artificial intelligence: Unlocking microbial systems biology
2023 · External reference
Total laboratory automation for rapid detection and identification of microorganisms and their antimicrobial resistance profiles
10.3389/fcimb.2022.807668 · 2022 · External reference
Clinical metagenomics
10.1038/s41576-019-0113-7 · 2019 · External reference
Predicting water quality index using stacked ensemble regression and SHAP based explainable artificial intelligence
10.1038/s41598-025-09463-4 · 2025 · External reference
Incorporating statistical test and machine intelligence into strain typing of Staphylococcus haemolyticus based on matrix-assisted laser desorption ionization time of flight mass spectrometry
10.3389/fmicb.2019.02120 · 2019 · External reference
Harnessing AI for precision medicine and its applications in genomics, systems pharmacology, and drug discovery
10.1016/j.ejphar.2025.178183 · 2025 · External reference
Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification
10.3389/fmedt.2024.1434799 · 2025 · External reference
Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks
10.1128/msystems.00181-18 · 2018 · External reference
Supervised machine learning for microbiomics: bridging the gap between current and best practices
2024 · External reference
Yapay Zeka’nm mikrobiyolojide kullanimi
2022 · External reference
Support vector machines: theory and applications
2001 · External reference
Algorithmovigilance in clinical AI: monitoring bias and drift in healthcare models
2024 · External reference
Unresolved reference
External reference
A unified framework of five principles for AI in society
2022 · External reference
Addressing class imbalance in microbiological datasets: Techniques and applications
2023 · External reference
Prediction of candidemia with machine learning techniques: state of the art
10.2217/fmb-2023-0269 · 2024 · External reference
Multicenter evaluation of an image analysis device (APAS): comparison between digital image and traditional plate reading using urine cultures
10.3343/alm.2017.37.6.499 · 2017 · External reference
Clinical metagenomic next-generation sequencing for pathogen detection
10.1146/annurev-pathmechdis-012418-012751 · 2019 · External reference
Deep learning for multi-omics data integration in microbial studies
2022 · External reference
Actors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing
10.1038/s41591-022-01895-z · 2022 · External reference
Measuring the quality of explanations: the next challenge in explainable AI
2022 · External reference
Federated learning in clinical microbiology: addressing privacy and bias in AI
2021 · External reference
High-throughput microbial culturomics using automation and machine learning
10.1038/s41587-023-01674-2 · 2023 · External reference
Harnessing artificial intelligence to address diseases attributable to unsafe drinking water: challenges, potentials, and recommendations
10.1007/s43832-025-00206-0 · 2025 · External reference
Artificial intelligence and/or machine learning algorithms in microalgae bioprocesses
10.3390/bioengineering11111143 · 2024 · External reference
Unresolved reference
2026 · External reference
Ethical dilemmas and challenges in AI-powered microbiology
2025 · External reference
Development and evaluation of an artificial intelligence for bacterial growth monitoring in clinical bacteriology
10.1128/jcm.01651-23 · 2024 · External reference
HyperVR: a hybrid 2314 deep ensemble learning approach for simultaneously predicting virulence factors and 2315 antibiotic resistance genes
2023 · External reference
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
10.1016/s2589-7500(21)00039-x · 2021 · External reference
Unresolved reference
External reference
AI ethics in Indian healthcare: a scoping review of national and international guidelines on privacy, data protection, and security
10.1186/s12910-026-01435-1 · 2026 · External reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · 2021 · External reference
Aligning artificial intelligence with climate change mitigation
10.1038/s41558-022-01377-7 · 2022 · External reference
Artificial intelligence in microbial diagnostics: navigating the challenges and limitations of a transformative technology
10.22207/jpam.20.2.53 · 2026 · External reference
Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance
10.1186/s12938-026-01568-9 · 2026 · External reference
Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
10.1128/cmr.00179-21 · 2022 · External reference
Systematic review of generative adversarial networks (GANs) in cell microscopy: trends, practices, and impact on image augmentation
10.1371/journal.pone.0291217 · 2025 · External reference
Artificial intelligence for microbial isolation and cultivation: progress and challenges
10.3390/microorganisms14030654 · 2026 · External reference
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic 2312 resistance genes
10.1186/s40168-021-01002-3 · 2021 · External reference
Evolutionary-scale prediction of atomic-level protein structure with a language model
10.1126/science.ade2574 · 2023 · External reference
Deep-learning-based virtual screening of antibacterial compounds
2025 · External reference
Harnessing artificial intelligence and machine learning for next-generation bioremediation
10.1016/j.ceja.2026.101052 · 2026 · External reference
Integrating machine learning with MALDI-TOF mass spectrometry for microbial identification and antimicrobial susceptibility testing
10.3390/ijms26031140 · 2025 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Accelerating the detection of bacteria in food using artificial intelligence and optical imaging
10.1128/aem.01828-22 · 2023 · External reference
Artificial intelligence and its application in clinical microbiology
10.1080/14787210.2025.2484284 · 2025 · External reference
Applications of machine learning, genomics and synthetic biology in marine microbial products
2026 · External reference
Should we be performing meta-genomic next-generation sequencing for infectious disease diagnosis in the clinical laboratory?
10.1128/jcm.01739-19 · 2019 · External reference
Artificial intelligence-driven analysis of antimicrobial-resistant and biofilm-forming pathogens on biotic and abiotic surfaces
10.3390/antibiotics13080788 · 2024 · External reference
Taxonomic classification of DNA sequences beyond sequence similarity using deep neural networks
10.1073/pnas.2122636119 · 2022 · External reference
Foundation models for generalist medical artificial intelligence
10.1038/s41586-023-05881-4 · 2023 · External reference
European union artifical intelligence act (EU AI ACT): implications for digital health and care
2026 · External reference
Deep learning-driven research for drug discovery: tackling malaria
10.1371/journal.pcbi.1007025 · 2020 · External reference
o# Predictive monitoring, identification, and control of Microcystis blooms in a drinking water source basin: an integrative artificial intelligence and bioinformatics approach
10.1016/j.jhazmat.2026.141288 · 2026 · External reference
Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification
10.3389/fmicb.2024.1348974 · 2024 · External reference
AI and infectious disease surveillance: opportunities and challenges
2022 · External reference
Dissecting racial bias in an algorithm used to manage the health of populations
10.1126/science.aax2342 · 2019 · External reference
Real-time epidemiology with AI: from pathogen detection to prediction
2023 · External reference
Exploring AI-driven machine learning approaches for optimal classification of peri-implantitis based on oral microbiome data: a feasibility study
10.3390/diagnostics15040425 · 2025 · External reference
Approaches for accelerating microbial gene function discovery using artificial intelligence
2026 · External reference
Artificial intelligence in drug discovery and development
10.1016/j.drudis.2020.10.010 · 2021 · External reference
Patient turnaround time: Concern of medical laboratory scientist
10.4314/sokjmls.v8i1.12 · 2023 · External reference
Unresolved reference
2011 · External reference
Sequencing-based analysis of microbiomes
2024 · External reference
Deep learning in microbiome analysis: a comprehensive review of neural network models
10.3389/fmicb.2024.1516667 · 2025 · External reference
AI in drug discovery and its clinical relevance
10.1016/j.heliyon.2023.e17575 · 2023 · External reference
AI in health and biology: from bias to trust
2022 · External reference
Introduction to artificial intelligence and machine learning in pathology and medicine: generative and nongenerative artificial intelligence basics
10.1016/j.modpat.2024.100688 · 2025 · External reference
Machine learning identification of Pseudomonas aeruginosa strains from colony image data
10.1371/journal.pcbi.1011699 · 2023 · External reference
Why should i trust you?" Explaining the predictions of any classifier
2016 · External reference
Combining deep learning and droplet microfluidics for rapid and label-free antimicrobial susceptibility testing of colistin
10.1016/j.bios.2024.116301 · 2024 · External reference
MB-GAN: microbiome simulation via generative adversarial network
10.1093/gigascience/giab005 · 2021 · External reference
Unresolved reference
External reference
Digital twins in microbiology: towards predictive microbial ecosystems
2024 · External reference
Machine learning algorithms, perspectives, and real - world application: empirical evidence from United States trade data
2023 · External reference
Discovery of antimicrobial peptides in the global microbiome with machine learning
10.1016/j.cell.2024.05.013 · 2024 · External reference
Artificial intelligence for antimicrobial resistance: advancing reproducibility, interpretability, and clinical deployment
10.1093/bib/bbag269 · 2026 · External reference
Editorial: artificial intelligence in environmental microbiology
10.3389/fmicb.2022.944242 · 2022 · External reference
Automating drug discovery
10.1038/nrd.2017.232 · 2018 · External reference
Metagenome-assembled genomes: concepts, analogies, and challenges
10.1007/s12551-021-00865-y · 2021 · External reference
AI-enhanced bioprocess technologies: machine learning implementations from upstream to downstream operations
10.1007/s11274-025-04494-5 · 2025 · External reference
Applications of artificial intelligence in microbial diagnosis
2023 · External reference
Artificial intelligence in bioremediation and environmental management
10.1002/tqem.70192 · 2025 · External reference
Role of artificial intelligence in automating diagnostic procedures in clinical microbiology laboratories
10.1016/j.crbiot.2025.100351 · 2025 · External reference
Artificial intelligence: exploring utility in detection and typing of fungus with futuristic application in fungal cytology
10.1111/cyt.13336 · 2024 · External reference
Monkeypox virus detection using pre-trained deep learning-based approaches
10.1007/s10916-022-01868-2 · 2022 · External reference
Digital holographic microscopy: use of artificial intelligence to enable rapid blood culture Gram stain digitization and interpretation
2026 · External reference
Applications of artificial intelligence in clinical microbiology diagnostic testing
10.1016/j.clinmicnews.2020.03.006 · 2020 · External reference
Evaluating healthcare AI: bias, ethics, and the TEHAI framework
2023 · External reference
Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform
10.1038/s41467-024-46213-y · 2024 · External reference
AI advances in ICU with an emphasis on sepsisprediction: an overview
10.3390/make7010006 · 2025 · External reference
Computational function prediction of bacteria and phage proteins
2025 · External reference
Synergizing nanomaterials and artificial intelligence in advanced optical biosensors for precision antimicrobial resistance diagnosis
10.1021/acssynbio.4c00070 · 2024 · External reference
A review of machine learning methods for cancer characterization from microbiome data
10.1038/s41698-024-00617-7 · 2024 · External reference
Unresolved reference
External reference
Global challenges of bias in microbiology AI
2024 · External reference
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
10.1093/bib/bbad493 · 2024 · External reference
Application of artificial intelligence in clinical microbiology: from research to practice
2025 · External reference
Evolving applications of artificial intelligence and machine learning in infectious diseases testing
10.1093/clinchem/hvab239 · 2021 · External reference
Conversion of a classical microbiology laboratory to a total automation laboratory enhanced by the application of lean principles
10.1128/spectrum.02153-23 · 2024 · External reference
Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
10.1080/13102818.2024.2349587 · 2024 · External reference
Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
2024 · External reference
Artificial intelligence in pharmaceutical technology and drug delivery design
10.3390/pharmaceutics15071916 · 2023 · External reference
Deep-learning-enabled antibiotic discovery through molecular de-extinction
2024 · External reference
Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides
10.1126/sciadv.adp7171 · 2025 · External reference
Early detect of Covid-19 from clinical symptoms based on artificial intelligence
2021 · External reference
Artificial intelligence in healthcare
2025 · External reference
External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients
10.1001/jamainternmed.2021.2626 · 2021 · External reference
Discovery of a structural class of antibiotics with explainable deep learning
10.1038/s41586-023-06887-8 · 2024 · External reference
Unresolved reference
2022 · External reference
Predicting pharmacodynamic effects through early drug discovery with artificial intelligence-physiologically based pharmacokinetic (AI-PBPK) modelling
2024 · External reference
Machine learning algorithms in microbial classification: a comparative analysis
10.3389/frai.2023.1200994 · 2023 · External reference
Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis
10.1186/s12863-025-01338-x · 2025 · External reference
Smart Fermentation Technologies: Microbial Process Control in Traditional Fermented Foods
10.3390/fermentation11060323 · 2025 · External reference
Artificial intelligence unifies knowledge and actions in drug repositioning
10.1042/etls20210223 · 2021 · External reference
10.1371/journal.pbio.3003539 · 2025 · Admitted local publication
From design–build–test–learn cycles to AI-driven digital twins for bioprocess scale-up in the Genesis Mission era
10.1016/j.copbio.2026.103516 · 2026 · External reference
CLMB: Deep contrastive learning for 2154 robust metagenomic binning
2022 · External reference
Machine learning performance in a microbial molecular autopsy context: a cross-sectional postmortem human population study
10.1371/journal.pone.0213829 · 2019 · External reference
Deep learning approach to describe and classify fungi microscopic images
10.1371/journal.pone.0234806 · 2020 · External reference
