AIMC Topic: Anti-Bacterial Agents

Clear Filters Showing 81 to 90 of 710 articles

Use of machine learning for real-time antibiotic treatment adjustment in high-risk patients with CRGNB infection.

Computer methods and programs in biomedicine
BACKGROUND: Infections caused by carbapenem resistant gram-negative bacilli (CRGNB) are associated with high mortality and pose a great challenge for clinical treatment. We aim to identify patients at high risk for CRGNB as early as possible and aler...

Similar Prophage Induction but Divergent Antibiotic Resistance Gene Occurrence: Leachates and Free Radicals Drive Differential Activation Mechanisms in Aged Tire Crumb Rubber.

Environmental science & technology
Indigenous phages play a key role in the spread of extracellular antibiotic resistance genes (eARGs), and micro/nanocontaminants can exacerbate this process. However, the specific roles and mechanisms of phage communities in this process are still no...

Machine learning-driven 3D-QSAR models facilitated rapid on-site broad-spectrum immunoassay of (fluoro)quinolones using evanescent wave fiber-embedded optofluidic biochip.

Biosensors & bioelectronics
(Fluoro)quinolones (FQs) pose significant threats to public health due to their widespread use and persistence in food and water sources. Given the extensive variety of FQs, testing each compound individually is prohibitively expensive and time-consu...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

Scientific reports
The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public health problem. This study aims to identify the risk factors of CRPA infection and construct a machine learning model to provide a prediction tool for ...

Machine learning-optimized bioprocess for macroidin production by Lysinibacillus macroides and its biomedical applications.

Bioprocess and biosystems engineering
The quest for solutions to infectious diseases and life-debilitating disease states has been ongoing for centuries now. Natural products researches have revealed bioactive compounds of plant and microbial origin that offer solutions to health conditi...

AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.

Accounts of chemical research
ConspectusThe escalating threat of antimicrobial resistance (AMR) poses a significant global health crisis, potentially surpassing cancer as a leading cause of death by 2050. Traditional antibiotic discovery methods have not kept pace with the rapidl...

AMPGen: an evolutionary information-reserved and diffusion-driven generative model for de novo design of antimicrobial peptides.

Communications biology
The rapid advancement of artificial intelligence (AI) has enabled de novo design of functional proteins, circumventing the reliance on natural templates or sequencing databases. However, current protein design models are ineffective in generating pro...

Discovery of CYP1A1 Inhibitors for Host-Directed Therapy against Sepsis.

Journal of medicinal chemistry
Bacterial sepsis remains a leading cause of death globally, exacerbated by the rise of multidrug resistance (MDR). Host-directed therapy (HDT) has emerged as a promising nonantibiotic approach to combat infections; thus, multiple HDT targets have bee...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Journal of Korean medical science
Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship programs in healthcare settings. By integrating information technology with healthcare services, hospitals can systematically collect, store, and utilize med...