A review of artificial intelligence applications for antimicrobial resistance

J Lv, S Deng, L Zhang - Biosafety and Health, 2021 - mednexus.org
The wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an
increasingly serious issue that threatens global health and imposes an enormous burden on …

Application of artificial intelligence in combating high antimicrobial resistance rates

AA Rabaan, S Alhumaid, AA Mutair, M Garout… - Antibiotics, 2022 - mdpi.com
Artificial intelligence (AI) is a branch of science and engineering that focuses on the
computational understanding of intelligent behavior. Many human professions, including …

Antimicrobial resistance crisis: could artificial intelligence be the solution?

GY Liu, D Yu, MM Fan, X Zhang, ZY Jin, C Tang… - Military Medical …, 2024 - Springer
Antimicrobial resistance is a global public health threat, and the World Health Organization
(WHO) has announced a priority list of the most threatening pathogens against which novel …

Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation

T Ali, S Ahmed, M Aslam - Antibiotics, 2023 - mdpi.com
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …

Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections

A Talat, AU Khan - Drug Discovery Today, 2023 - Elsevier
Highlights•Artificial intelligence can combat AMR by discovering antibiotic alternatives.•AI is
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …

Using machine learning to predict antimicrobial resistance―a literature review

A Sakagianni, C Koufopoulou, G Feretzakis, D Kalles… - Antibiotics, 2023 - mdpi.com
Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …

Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning

J Yan, J Cai, B Zhang, Y Wang, DF Wong, SWI Siu - Antibiotics, 2022 - mdpi.com
Antimicrobial resistance has become a critical global health problem due to the abuse of
conventional antibiotics and the rise of multi-drug-resistant microbes. Antimicrobial peptides …

Prediction of antimicrobial peptides based on the adaptive neuro‐fuzzy inference system application

FC Fernandes, DJ Rigden, OL Franco - Peptide Science, 2012 - Wiley Online Library
Antimicrobial peptides (AMPs) are widely distributed defense molecules and represent a
promising alternative for solving the problem of antibiotic resistance. Nevertheless, the …

Antimicrobial peptides: An alternative to traditional antibiotics

S Ji, F An, T Zhang, M Lou, J Guo, K Liu, Y Zhu… - European Journal of …, 2023 - Elsevier
As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …

Role of artificial intelligence in fighting antimicrobial resistance in pediatrics

U Fanelli, M Pappalardo, V Chinè, P Gismondi… - Antibiotics, 2020 - mdpi.com
Artificial intelligence (AI) is a field of science and engineering concerned with the
computational understanding of what is commonly called intelligent behavior. AI is extremely …