Synergizing artificial intelligence and probiotics: A comprehensive review of emerging applications in health promotion and industrial innovation

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Future AI Will Most Likely Predict Antibody-Drug Conjugate Response in Oncology: A Review and Expert Opinion

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A Knowledge-Based System as a Sustainable Software Application for the Supervision and Intelligent Control of an Alcoholic Fermentation Process

Șipoș, A. (2020) · Sustainability · doi:10.3390/su122310205 · Cited by 18 · see citing works

Probiotic activity traits in vitro and production of antimicrobial peptides by Lactobacillaceae isolates from pulque using Lactobacillus acidophilus NCFM as control

Ruiz-Ramírez, Y., Guadarrama-Mendoza, P. C., Escalante, A., Gilés-Gómez, M., & Valadez-Blanco, R. (2022) · Brazilian Journal of Microbiology · doi:10.1007/s42770-022-00684-7 · Cited by 18 · see citing works

CnnPOGTP: a novel CNN-based predictor for identifying the optimal growth temperatures of prokaryotes using only genomick-mers distribution

Wang, S., Li, G., Liao, Z., et al. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac289 · Cited by 18 · see citing works

Machine Learning Algorithms Highlight tRNA Information Content and Chargaff’s Second Parity Rule Score as Important Features in Discriminating Probiotics from Non-Probiotics

Bergamini, C. M., Bianchi, N., Giaccone, V., Catellani, P., Alberghini, L., Stella, A., Biffani, S., Yaddehige, S. K., Bobbo, T., & Taccioli, C. (2022) · Biology · doi:10.3390/biology11071024 · Cited by 17 · see citing works

Artificial neural network modeling and statistical optimization of medium components to enhance production of exopolysaccharide by Bacillus sp. EPS003

Marimuthu, S., Pappu, J. S. M., & Rajendran, K. (2022) · Preparative Biochemistry & Biotechnology · doi:10.1080/10826068.2022.2098322 · Cited by 17 · see citing works

AI in microbiome research: Where have we been, where are we going?

Gerber, G. K. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.07.021 · Cited by 17 · see citing works

Exploring the frontier of microbiome biomarker discovery with artificial intelligence

Xiao, L., & Zhao, F. (2024) · National Science Review · doi:10.1093/nsr/nwae325 · Cited by 17 · see citing works

Artificial intelligence model for analyzing colonic endoscopy images to detect changes associated with irritable bowel syndrome

Tabata, K., Mihara, H., Nanjo, S., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000058 · Cited by 16 · see citing works

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes

Ren, Y. N., Zheng, Y., Wang, X., Qu, S., Sun, L., Song, C., Ding, J. J., Ji, Y., Wang, G., Zhu, P., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1361180 · Cited by 16 · see citing works

Assessing fecal metaproteomics workflow and small protein recovery using DDA and DIA PASEF mass spectrometry

Wang, A. Y., Fekete, E. E. F., Creskey, M., Cheng, K., Ning, Z., Pfeifle, A., Li, X., Figeys, D., & Zhang, X. (2024) · Microbiome Research Reports · doi:10.20517/mrr.2024.21 · Cited by 16 · see citing works

Precision Nutrition Initiative: Toward Personalized Diet Recommendations for Patients With Inflammatory Bowel Diseases

Hurtado‐Lorenzo, A., Honig, G., & Heller, C. A. (2020) · Crohn s & Colitis 360 · doi:10.1093/crocol/otaa087 · Cited by 15 · see citing works

Preliminary study on development of cocoa beans fermentation level measurement based on computer vision and artificial intelligence

Anggraini, C. D., Putranto, A. W., Iqbal, Z., et al. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/924/1/012019 · Cited by 12 · see citing works

ProBioQuest: a database and semantic analysis engine for literature, clinical trials and patents related to probiotics

Chan, P. L., Lauw, S., Lee, K., Kei, N., Ma, K. L., Wong, Y. O., Lam, H. Y., Ting, Y. Y., Yau, T. K., Nong, W., et al. (2022) · Database · doi:10.1093/database/baac059 · Cited by 12 · see citing works

In Silico Safety Assessment of Bacillus Isolated from Polish Bee Pollen and Bee Bread as Novel Probiotic Candidates

Hafeez, A. B., Pełka, K., Worobo, R. W., & Szweda, P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25010666 · Cited by 12 · see citing works

Probiotic-derived amphiphilic exopolysaccharide self-assembling adjuvant delivery platform for enhancing immune responses

Sheng, S., Zhang, H. C., Li, X., et al. (2024) · Journal of Nanobiotechnology · doi:10.1186/s12951-024-02528-y · Cited by 11 · see citing works

Artificial intelligence for microbial biotechnology: beyond the hype

Robinson, S. L. (2021) · Microbial Biotechnology · doi:10.1111/1751-7915.13943 · Cited by 10 · see citing works

Application of SWATH Mass Spectrometry and Machine Learning in the Diagnosis of Inflammatory Bowel Disease Based on the Stool Proteome

Shajari, E., Gagné, D., Malick, M., Roy, P., Noël, J.-F., Gagnon, H., Brunet, M. A., Delisle, M., Boisvert, F., & Beaulieu, J. (2024) · Biomedicines · doi:10.3390/biomedicines12020333 · Cited by 10 · see citing works

An integrated neural-fuzzy methodology for characterisation and modelling of exopolysaccharide (EPS) production levels of Leuconostoc mesenteroides DL1

Kabli, M. R., Yılmaz, M. T., Taylan, O., et al. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2020.106619 · Cited by 9 · see citing works

Effect of metformin on gut microbiota imbalance in patients with T2DM, and the value of probiotic supplementation

Li, L., Chen, Y., Tang, Z., et al. (2024) · Allergologia et Immunopathologia · doi:10.15586/aei.v52i4.1101 · Cited by 9 · see citing works

Rapid discrimination of Bifidobacterium longum subspecies based on MALDI-TOF MS and machine learning

Liu, K., Wang, Y., Zhao, M., Xue, G., Wang, A., Wang, W., Xu, L., & Chen, J. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1297451 · Cited by 8 · see citing works

AI-based predictive modeling: applications in cardiology

Abbas, G. H. (2024) · International Journal of Surgery Global Health · doi:10.1097/gh9.0000000000000419 · Cited by 8 · see citing works

Examining dietary interventions in Crohn’s disease

Chen, L., Srinivasan, A. R., & Vasudevan, A. (2024) · World Journal of Gastroenterology · doi:10.3748/wjg.v30.i34.3868 · Cited by 8 · see citing works

Editorial: Special Issue “Implementation of Digital Technologies on Beverage Fermentation”

Viejo, C. G., & Fuentes, S. (2022) · Fermentation · doi:10.3390/fermentation8030127 · Cited by 6 · see citing works

From whole genomes to probiotic candidates: A study of potential lactobacilli strains selection for vaginitis treatment

Lyu, J., Gao, M., Zhao, S., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30495 · Cited by 6 · see citing works

The prediction of Parkinson's disease based on Pearson coefficient feature screening and machine learning

Tian, Y. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/67/20240628 · Cited by 4 · see citing works

Antimicrobial Peptides from Lactic Acid Bacteria as a Hurdle Technology Component for Food Preservation: Applications and Safety Considerations

Ruiz-Ramírez, Y., Guadarrama-Mendoza, P. C., Valadez-Blanco, R., & Ponce‐Alquicira, E. (2024) · Springer eBooks · doi:10.1007/978-981-97-3413-9_13 · Cited by 3 · see citing works

Parkinson's Disease and Its's Stage Classification using Artificial Intelligence

Uma Rani, M., Rithikasri, R. P., SakthiPraba, V., et al. (2022) · International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) · doi:10.1109/icatiece56365.2022.10046891 · Cited by 2 · see citing works

Understanding the Functionality of Probiotics on the Edge of Artificial Intelligence (AI) Era

Asar, R., Erenler, S., Devecioglu, D., Ispirli, H., Karbancioglu-Guler, F., Ozturk, H. I., & Dertli, E. (2025) · Fermentation · doi:10.3390/fermentation11050259 · Cited by 37 · see citing works

Current Concepts in Probiotic Safety and Efficacy

Churin, A. A., Sokolyanskaya, L. O., Lukina, A. P., & Karnachuk, O. V. (2026) · Nutrients · doi:10.3390/nu18040696 · Cited by 31 · see citing works

Artificial intelligence-driven strategies to enhance the application of lactic acid bacteria as functional probiotics: Health promotion and optimization for industrial applications

Jo, D.-M., Ko, S.-C., Kim, K. W., Yang, D., Kim, J.-Y., Oh, G.-W., Choi, G., Lee, D.-S., Tabassum, N., Kim, Y.-M., et al. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105309 · Cited by 20 · see citing works

Events promotion procedure arrangement:based on analysis and study the case of LANVIN for H&M

Jian-mei, C. (2011) · Advanced materials research

On Effects of Professional Promotion on Teachers' Research Work in Higher Institutions

Wo-wu, X. (2004)

Perfecting Agricultural Technology Popularization System Serving Socialist New Countryside Construction

Yu, Z. (2006) · The rural economy

As balancing act and as game: How women and men science faculty experience the promotion process

Gunter, R., & Stambach, A. (2003) · Gender Issues · doi:10.1007/s12147-003-0020-1 · Cited by 38 · see citing works

Let Us, in the Course of Reform and Opening Up, Pay Strong Attention to the Cultivation and Promotion of Women Cadres

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