AIMC Topic: Anti-Infective Agents

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Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.

Medicina (Kaunas, Lithuania)
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, which is a typical oral disease, and (), which causes oral candidiasis. : was shaken in 70% ethanol f...

Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.

The Lancet. Infectious diseases
Health-care systems, food supply chains, and society in general are threatened by the inexorable rise of antimicrobial resistance. This threat is driven by many factors, one of which is inappropriate antimicrobial treatment. The ability of policy mak...

Leveraging artificial intelligence in the fight against infectious diseases.

Science (New York, N.Y.)
Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance will ...

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

Drug discovery today
Antimicrobial resistance (AMR) is a silent pandemic with the third highest global mortality. The antibiotic development pipeline is scarce even though AMR has escalated uncontrollably. Artificial intelligence (AI) is a revolutionary approach, acceler...

Text mining for identification of biological entities related to antibiotic resistant organisms.

PeerJ
Antimicrobial resistance is a significant public health problem worldwide. In recent years, the scientific community has been intensifying efforts to combat this problem; many experiments have been developed, and many articles are published in this a...

Machine learning to design antimicrobial combination therapies: Promises and pitfalls.

Drug discovery today
Combination therapies can overcome antimicrobial resistance (AMR) and repurpose existing drugs. However, the large combinatorial space to explore presents a daunting challenge. In response, machine learning (ML) algorithms are being applied to identi...

Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning.

Australian veterinary journal
Understanding antimicrobial usage patterns and encouraging appropriate antimicrobial usage is a critical component of antimicrobial stewardship. Studies using VetCompass Australia and Natural Language Processing (NLP) have demonstrated antimicrobial ...

Assessing and utilizing esterase specificity in antimicrobial prodrug development.

Methods in enzymology
As a class of enzymes, esterases have been investigated for decades and have found use in industrial processes, synthetic organic chemistry, and elsewhere. Esters are functional groups composed of an alcohol moiety and a carboxylic acid moiety. Altho...