AIMC Topic: Anti-Infective Agents

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Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning.

Scientific reports Feb 24, 2024
The increasing prevalence of antibiotic resistance in Cutibacterium acnes (C. acnes) requires the search for alternative therapeutic strategies. Antimicrobial peptides (AMPs) offer a promising avenue for the development of new treatments targeting C....
Humans Anti-Bacterial Agents Anti-Infective Agents Acne Vulgaris Antimicrobial Peptides Propionibacterium acnes Phylogeny Deep Learning
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Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.

Medicina (Kaunas, Lithuania) Dec 21, 2023
: 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...
Humans Anti-Infective Agents Candida albicans Dental Caries Streptococcus mutans Biofilms Plant Extracts
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Editorial: Clinical impact of fast platforms and laboratory automation for the rapid diagnosis of infectious diseases and detection of antimicrobial resistance determinants.

Frontiers in cellular and infection microbiology Dec 4, 2023
Communicable Diseases Anti-Bacterial Agents Humans Anti-Infective Agents Drug Resistance, Bacterial Automation, Laboratory
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E. globulus leaf EO exhibits anti-inflammatory effects by regulating GSDMD-mediated pyroptosis, thereby alleviating neurological impairment and neuroinflammation in experimental stroke mice.

Journal of ethnopharmacology Oct 30, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: Aromatic and medicinal plants continue to be a major component of alternative and traditional medicine in the developing countries. Eucalyptus globulus (Labill.) is being employed to cultivation and production in China...
Stroke Infarction, Middle Cerebral Artery Rats DNA-Binding Proteins NLR Family, Pyrin Domain-Containing 3 Protein Inflammation Plant Leaves Pyroptosis Animals Tumor Necrosis Factor-alpha Rats, Sprague-Dawley Neuroinflammatory Diseases NF-kappa B Mice Interleukin-6 Anti-Infective Agents Anti-Inflammatory Agents Microglia Lipopolysaccharides
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Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.

The Lancet. Infectious diseases Aug 31, 2023
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...
Public Health Health Facilities Humans Anti-Infective Agents Policy Artificial Intelligence
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Leveraging artificial intelligence in the fight against infectious diseases.

Science (New York, N.Y.) Jul 13, 2023
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 ...
Humans Artificial Intelligence Pandemics Communicable Disease Control Drug Discovery Communicable Diseases Public Health Anti-Infective Agents
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Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections.

Drug discovery today Jan 13, 2023
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...
Artificial Intelligence Anti-Bacterial Agents Anti-Infective Agents Drug Discovery
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Text mining for identification of biological entities related to antibiotic resistant organisms.

PeerJ May 5, 2022
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...
Artificial Intelligence Machine Learning Anti-Infective Agents Data Mining Algorithms
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Machine learning to design antimicrobial combination therapies: Promises and pitfalls.

Drug discovery today Apr 7, 2022
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...
Anti-Bacterial Agents Anti-Infective Agents Machine Learning Algorithms
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Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning.

Australian veterinary journal Jan 25, 2022
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 ...
Big Data Animals Habits Hospitals, Animal Deep Learning Anti-Bacterial Agents Anti-Infective Agents
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