[HTML][HTML] 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 …

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 …

DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics

M Pirtskhalava, AA Amstrong, M Grigolava… - Nucleic acids …, 2021 - academic.oup.com
Abstract The Database of Antimicrobial Activity and Structure of Peptides (DBAASP) is an
open-access, comprehensive database containing information on amino acid sequences …

[HTML][HTML] Meta-iAVP: a sequence-based meta-predictor for improving the prediction of antiviral peptides using effective feature representation

N Schaduangrat, C Nantasenamat… - International journal of …, 2019 - mdpi.com
In spite of the large-scale production and widespread distribution of vaccines and antiviral
drugs, viruses remain a prominent human disease. Recently, the discovery of antiviral …

Harnessing machine learning for development of microbiome therapeutics

LE McCoubrey, M Elbadawi, M Orlu, S Gaisford… - Gut …, 2021 - Taylor & Francis
The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic
relationship with human health. Studies elucidating the relationship between an unbalanced …

[HTML][HTML] 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 …

[HTML][HTML] Machine learning in antibacterial drug design

M Jukič, U Bren - Frontiers in Pharmacology, 2022 - frontiersin.org
Advances in computer hardware and the availability of high-performance supercomputing
platforms and parallel computing, along with artificial intelligence methods are successfully …

[HTML][HTML] Machine learning uncovers adverse drug effects on intestinal bacteria

LE McCoubrey, M Elbadawi, M Orlu, S Gaisford… - Pharmaceutics, 2021 - mdpi.com
The human gut microbiome, composed of trillions of microorganisms, plays an essential role
in human health. Many factors shape gut microbiome composition over the life span …

Antimicrobial Resistance in Cirrhosis

V Jahagirdar, MF Habeeb, AV Kulkarni - Current Hepatology Reports, 2024 - Springer
Antimicrobial Resistance in Cirrhosis | Current Hepatology Reports Skip to main content
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[PDF][PDF] Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation. Antibiotics 2023, 12, 523

T Ali, S Ahmed, M Aslam - 2023 - researchgate.net
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 …