Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Antimicrobial peptides: an update on classifications and databases

A Bin Hafeez, X Jiang, PJ Bergen, Y Zhu - International journal of …, 2021 - mdpi.com
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …

Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis

E Rossi, R La Rosa, JA Bartell, RL Marvig… - Nature Reviews …, 2021 - nature.com
Intense genome sequencing of Pseudomonas aeruginosa isolates from cystic fibrosis (CF)
airways has shown inefficient eradication of the infecting bacteria, as well as previously …

Challenges and opportunities in sharing microbiome data and analyses

C Huttenhower, RD Finn, AC McHardy - Nature Microbiology, 2023 - nature.com
Microbiome data, metadata and analytical workflows have become 'big'in terms of volume
and complexity. Although the infrastructure and technologies to share data have been …

Accelerating antibiotic discovery through artificial intelligence

MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …

β-lactam Resistance in Pseudomonas aeruginosa: Current Status, Future Prospects

KA Glen, IL Lamont - Pathogens, 2021 - mdpi.com
Pseudomonas aeruginosa is a major opportunistic pathogen, causing a wide range of acute
and chronic infections. β-lactam antibiotics including penicillins, carbapenems …

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 …

Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases

S He, LG Leanse, Y Feng - Advanced drug delivery reviews, 2021 - Elsevier
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …

Evolution and host-specific adaptation of Pseudomonas aeruginosa

A Weimann, AM Dinan, C Ruis, A Bernut, S Pont… - Science, 2024 - science.org
The major human bacterial pathogen Pseudomonas aeruginosa causes multidrug-resistant
infections in people with underlying immunodeficiencies or structural lung diseases such as …

Applications of machine learning to the problem of antimicrobial resistance: an emerging model for translational research

MN Anahtar, JH Yang, S Kanjilal - Journal of clinical microbiology, 2021 - Am Soc Microbiol
Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …