Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach DOI Creative Commons
Tian Tian, Xuan Zhang, Fei Zhang

и другие.

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Ноя. 15, 2024

Introduction The integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution trends AI applications this domain, providing insights into how is transforming practice microbiology. Methods We employed bibliometric analysis topic modeling examine 27,420 publications from Web Science Core Collection, covering period 2010 2024. These methods enabled us identify key trends, areas, geographical distribution efforts. Results Since 2016, there been an exponential increase AI-related publications, with significant contributions China USA. Our identified eight major application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, data management systems. Notably, we found lexical overlaps between these especially drug suggesting interconnected landscape. Discussion increasingly moving laboratory clinical applications, enhancing hospital operations public health strategies. It plays a vital role optimizing improving diagnostic speed, treatment efficacy, disease control, particularly through advancements rapid susceptibility testing COVID-19 development. highlights current status, progress, challenges microbiology, guiding future directions, resource allocation, policy-making.

Язык: Английский

Leveraging artificial intelligence in vaccine development: A narrative review DOI Creative Commons
David B. Olawade,

Jennifer Teke,

Oluwaseun Fapohunda

и другие.

Journal of Microbiological Methods, Год журнала: 2024, Номер 224, С. 106998 - 106998

Опубликована: Июль 15, 2024

Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity mortality. However, traditional vaccine methods are often time-consuming, costly, inefficient. The advent artificial intelligence (AI) has ushered new era design, offering unprecedented opportunities to expedite the process. This narrative review explores role AI development, focusing on antigen selection, epitope prediction, adjuvant identification, optimization strategies. algorithms, including machine learning deep learning, leverage genomic data, protein structures, immune system interactions predict antigenic epitopes, assess immunogenicity, prioritize antigens for experimentation. Furthermore, AI-driven approaches facilitate rational design immunogens identification novel candidates with optimal safety efficacy profiles. Challenges such data heterogeneity, model interpretability, regulatory considerations must be addressed realize full potential development. Integrating emerging technologies, single-cell omics synthetic biology, promises enhance precision scalability. underscores transformative impact highlights need interdisciplinary collaborations harmonization accelerate delivery safe effective vaccines against diseases.

Язык: Английский

Процитировано

20

Research progress of DNA methylation in the screening of cervical cancer and precancerous lesions DOI Creative Commons

Yunge Wang,

Xueping Ma,

Tao Zhang

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 12, 2025

Abstract Cervical cancer is one of the most common malignant tumors that seriously threaten women's health. Persistent infection with high risk human papillomavirus (HPV) closely related to progression cervical cancer. screening an effective measure reduce incidence and mortality The two strategies are cytology HPV testing, but they easily lead missed diagnosis or overdiagnosis. To overcome such limitations, a new triage method needs be explored. World Health Organization second edition guideline includes DNA methylation testing as evaluated. epigenetic modification considered occurrence development tumors. In recent years, many methylated genes have been found biomarkers for precancerous lesions diagnosis. this paper, we focus on role application host methylation, well combined in lesions.

Язык: Английский

Процитировано

0

Revolutionizing Cervical Cancer Diagnostics: A Shift from Traditional Techniques to Biosensors DOI Creative Commons

Ubaid Mushtaq Naikoo,

Roberto Pilloton, Humaira Farooqi

и другие.

Biosensors and Bioelectronics X, Год журнала: 2025, Номер unknown, С. 100587 - 100587

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach DOI Creative Commons
Tian Tian, Xuan Zhang, Fei Zhang

и другие.

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Ноя. 15, 2024

Introduction The integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution trends AI applications this domain, providing insights into how is transforming practice microbiology. Methods We employed bibliometric analysis topic modeling examine 27,420 publications from Web Science Core Collection, covering period 2010 2024. These methods enabled us identify key trends, areas, geographical distribution efforts. Results Since 2016, there been an exponential increase AI-related publications, with significant contributions China USA. Our identified eight major application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, data management systems. Notably, we found lexical overlaps between these especially drug suggesting interconnected landscape. Discussion increasingly moving laboratory clinical applications, enhancing hospital operations public health strategies. It plays a vital role optimizing improving diagnostic speed, treatment efficacy, disease control, particularly through advancements rapid susceptibility testing COVID-19 development. highlights current status, progress, challenges microbiology, guiding future directions, resource allocation, policy-making.

Язык: Английский

Процитировано

0