AIMC Topic: Anti-Bacterial Agents
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Rapid detection of antibiotic resistance in Burkholderia pseudomallei using MALDI-TOF mass spectrometry.
Scientific reports
Jul 1, 2025
Antibiotic resistance in Burkholderia pseudomallei (Bp) is a growing public health concern requiring urgent attention. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid bacterial identi...
Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.
Nature communications
Jul 1, 2025
We use machine learning to identify innovative strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit. Using data from a randomized trial of azithromycin for watery diarrhea (NCT03130114), we develop per...
Photocatalytic microrobots for treating bacterial infections deep within sinuses.
Science robotics
Jun 25, 2025
Microrobotic techniques are promising for treating biofilm infections located deep within the human body. However, the presence of highly viscous pus presents a formidable biological barrier, severely restricting targeted and minimally invasive treat...
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
Jun 9, 2025
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...
Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.
Scientific reports
Jun 5, 2025
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 ...
AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.
Accounts of chemical research
Jun 3, 2025
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
May 30, 2025
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
May 29, 2025
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
May 26, 2025
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...
Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance.
Molecules (Basel, Switzerland)
May 24, 2025
Antimicrobial resistance (AMR) is one of the most significant public health threats today. The need for new antimicrobials against multidrug-resistant infections is growing. The development of computational models capable of predicting new drug-targe...
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