Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
In this mini-review, we delve into the transformative impact of artificial intelligence (AI) and machine learning (ML) in the field of microbiology. The paper provides a brief overview of various domains where AI is reshaping practices, including clinical diagnostics, drug and vaccine discovery, and...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Biotechnology & Biotechnological Equipment |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/13102818.2024.2349587 |
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| author | Virna-Maria Tsitou Dimitrios Rallis Mariana Tsekova Nikolay Yanev |
| author_facet | Virna-Maria Tsitou Dimitrios Rallis Mariana Tsekova Nikolay Yanev |
| author_sort | Virna-Maria Tsitou |
| collection | DOAJ |
| description | In this mini-review, we delve into the transformative impact of artificial intelligence (AI) and machine learning (ML) in the field of microbiology. The paper provides a brief overview of various domains where AI is reshaping practices, including clinical diagnostics, drug and vaccine discovery, and public health management. Our discussion spotlights the implementation of convolutional neural networks for enhanced pathogen identification, the advancements in point-of-care diagnostics, and the emergence of new antimicrobials to tackle resistant strains. The application of AI in epidemiology, microbial ecology and forensic microbiology is also outlined, underscoring its proficiency in deciphering complex microbial interactions and forecasting disease outbreaks. We critically examine the challenges in AI application, such as ensuring data quality and overcoming algorithmic constraints, and stress the necessity for interpretable AI models that align with medical and ethical standards. We address the intricacies of digitalization in microbiology diagnostics, emphasizing the need for efficient data management in laboratory and clinical environments. Looking forward, we identify key directions for AI in microbiology, particularly focusing on developing adaptable, self-updating AI models and their integration into clinical settings. We conclude by highlighting AI's potential to revolutionize microbiological diagnostics and infection control, significantly influencing patient care and public health. This review serves as an invitation to explore AI's integration into microbiology, showcasing its role in evolving current methodologies and propelling future innovations. |
| format | Article |
| id | doaj-art-76da483d91b140f8bc47cf2aee14fbdb |
| institution | OA Journals |
| issn | 1310-2818 1314-3530 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Biotechnology & Biotechnological Equipment |
| spelling | doaj-art-76da483d91b140f8bc47cf2aee14fbdb2025-08-20T02:38:55ZengTaylor & Francis GroupBiotechnology & Biotechnological Equipment1310-28181314-35302024-12-0138110.1080/13102818.2024.2349587Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiologyVirna-Maria Tsitou0Dimitrios Rallis1Mariana Tsekova2Nikolay Yanev3Faculty of Medicine, Department of Medical Microbiology, Medical University of Sofia, Sofia, BulgariaEl Greco-Private Dental Care-Private Practice, Sofia, BulgariaDepartment of Imaging and Oral Diagnostics, Faculty of Dental Medicine Medical University of Sofia, Sofia, BulgariaMedico-Dental Clinic “Yanev Medico Dent”, Sofia, BulgariaIn this mini-review, we delve into the transformative impact of artificial intelligence (AI) and machine learning (ML) in the field of microbiology. The paper provides a brief overview of various domains where AI is reshaping practices, including clinical diagnostics, drug and vaccine discovery, and public health management. Our discussion spotlights the implementation of convolutional neural networks for enhanced pathogen identification, the advancements in point-of-care diagnostics, and the emergence of new antimicrobials to tackle resistant strains. The application of AI in epidemiology, microbial ecology and forensic microbiology is also outlined, underscoring its proficiency in deciphering complex microbial interactions and forecasting disease outbreaks. We critically examine the challenges in AI application, such as ensuring data quality and overcoming algorithmic constraints, and stress the necessity for interpretable AI models that align with medical and ethical standards. We address the intricacies of digitalization in microbiology diagnostics, emphasizing the need for efficient data management in laboratory and clinical environments. Looking forward, we identify key directions for AI in microbiology, particularly focusing on developing adaptable, self-updating AI models and their integration into clinical settings. We conclude by highlighting AI's potential to revolutionize microbiological diagnostics and infection control, significantly influencing patient care and public health. This review serves as an invitation to explore AI's integration into microbiology, showcasing its role in evolving current methodologies and propelling future innovations.https://www.tandfonline.com/doi/10.1080/13102818.2024.2349587AI in microbiologymachine learning diagnosticscomputational microbiologyAI drug discoveryML antimicrobial resistanceAI infectious diseases |
| spellingShingle | Virna-Maria Tsitou Dimitrios Rallis Mariana Tsekova Nikolay Yanev Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology Biotechnology & Biotechnological Equipment AI in microbiology machine learning diagnostics computational microbiology AI drug discovery ML antimicrobial resistance AI infectious diseases |
| title | Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology |
| title_full | Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology |
| title_fullStr | Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology |
| title_full_unstemmed | Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology |
| title_short | Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology |
| title_sort | microbiology in the era of artificial intelligence transforming medical and pharmaceutical microbiology |
| topic | AI in microbiology machine learning diagnostics computational microbiology AI drug discovery ML antimicrobial resistance AI infectious diseases |
| url | https://www.tandfonline.com/doi/10.1080/13102818.2024.2349587 |
| work_keys_str_mv | AT virnamariatsitou microbiologyintheeraofartificialintelligencetransformingmedicalandpharmaceuticalmicrobiology AT dimitriosrallis microbiologyintheeraofartificialintelligencetransformingmedicalandpharmaceuticalmicrobiology AT marianatsekova microbiologyintheeraofartificialintelligencetransformingmedicalandpharmaceuticalmicrobiology AT nikolayyanev microbiologyintheeraofartificialintelligencetransformingmedicalandpharmaceuticalmicrobiology |